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Data Scientists

15-2051.00 Bright Outlook $158K
52
postings · Bachelor's
Career stage: All Intern (18) Entry-level (23) Mid-level (447) Senior (713) Manager (182) Director (151)
Education: All Bachelor's (52) Master's (77) Doctorate (149)
What do these filters mean?
Career stage is read from the job title. Use it to find jobs aimed at where you are right now:
  • Intern You can apply while still in school.
  • Entry-level Designed for new graduates.
  • Mid-level Typically expects internship or 2-3 years of experience.
  • Senior Established career role — usually 5+ years experience.
  • Manager Leads a team of engineers, not an early-career role.
  • Director Executive role — typically 10+ years of career experience.
Education is the highest degree the posting explicitly mentions. Postings that don't say are not filtered out — they appear under "All".
Data Scientist I, Demand Forecasting
Amazon · Bellevue, WA
Entry-level Bachelor's
2026-06-04
Requirements
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
  • Bachelor's degree
  • Familiarity with large language models (LLMs) or generative AI applications in analytics or explainability
Preferred
  • Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
  • Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
  • Experience with time series forecasting, demand modeling, or bias correction techniques
Responsibilities
  • Design and analyze experiments (A/B tests) to measure the impact of forecast model changes and SCOT initiatives, drawing causal inferences from both experimental and observational data
  • Develop bias correction models to improve forecast accuracy across Amazon's demand forecasting systems, including National, Regional, Grocery, SSD, Inbound, and CIV forecasts
  • Contribute to GenAI/LLM-based research for forecast explainability and interpretability, helping stakeholders understand what drives forecast signals
  • Support and enhance the Labs experimentation platform by building scalable inference and measurement solutions that quantify the impact of forecasting improvements
  • Work horizontally across the forecasting product portfolio and collaborate with product managers, applied scientists, and engineering teams to embed analytics and ML solutions where they create the most value
  • Use large datasets to build models addressing ambiguous forecasting questions, including demand prediction, out of stock, seasonality, and varying lead times and spans
  • Interpret data, write reports, and communicate measurement results to stakeholders by translating technical frameworks into business-oriented insights and actionable recommendations
  • Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. The candidate will need to be able to extract insights from data and clearly communicate appropriate triggers and actions
  • Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
  • The benefits that generally apply to regular, full-time employees include:
  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
  • At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
View full posting on CareerOneStop → ID: 7583b72888d1
Senior AI/ML Engineer - Future Sensing, Embodied AI
General Motors · Olympia, WA
Senior Bachelor's
2026-06-04
Preferred
  • Experience withperceptionsensors including cameras, radar, and lida
  • Experience with multi-modal sensor fusion and system integration
  • Experience with production ML pipelines, model optimization, and performance tuning
  • Experience with simulation, synthetic data, or scenario-based evaluation
  • Experience with architecting sensory systems or contributing to sensor placement and configuration studies
  • Experience deploying ML models into production or working within production ML environments
  • Experience in automotive, robotics, or safety-critical ML applications.
  • *Remote/Hybrid: This role is categorized as fully remote or hybrid.
Responsibilities
  • At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
  • As a Senior AI/ML Future Sensing Engineer in the Embodied AI organization, you will develop and evaluate machine learning solutions contributing to future sensing architecture decisions and autonomous driving performance. You will contribute to designing and improving ML and perception models that support safe and reliable vehicle behavior across real-world scenarios, while helping connect sensing choices to measurable performance outcomes.
  • You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready or production-informing solutions while contributing to engineering best practices, technical analyses, and delivery execution.
  • *What You'll Do
  • Develop and improve AI/ML solutions aligned with GM's autonomous driving and future sensing objectives
  • Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling and selection, and foundation modeling to solve problems in object detection, tracking, classification,perception, and safe AI
  • Develop and evaluateperceptionmodels and components for sensing studies involving cameras, lidar, radar, and multi-modal sensor fusion
  • Implement and evaluate models, incorporating research advancements into practical applications
  • Contribute to model training, fine-tuning, validation, debugging, and performance optimization forperceptionand sensor-fusion tasks
  • Help define and implement robust metrics for detection, reconstruction, localization support, semantic labeling, and model robustness under varied environmental conditions
  • Work with real and synthetic data to evaluate sensing tradeoffs across weather, lighting, occlusion, sensor noise, clutter, and near-field versus long-range scenarios
  • Contribute to production pipelines and technical workflows spanning data loading, model evaluation, error analysis, and deployment-oriented support
  • Collaborate with cross-functional teams to integrate models and algorithms into onboard driving systems and future sensing evaluation workflows
  • Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing.
  • *Your Skills & Abilities
  • Bachelor's orMaster's degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
  • Experience applying machine learning techniques to real-world systems or large-scale datasets
  • Experience building AI/ML or perception systems in autonomy, robotics, computer vision, or related domains
  • ProficiencyinPyTorchand Python
  • Experience working with model training pipelines or large-scale data processing workflows
  • Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark
  • Experience with model validation, debugging, and failure analysis in ML orperceptionsettings
  • Experience with one or moreperceptiondomains such as object detection, segmentation, tracking, reconstruction, localization, or sensor fusion
  • Ability to collaborate effectively within cross-functional engineering teams.
View full posting on CareerOneStop → ID: a94913349ea5
Senior Machine Learning Engineer, Machine Learning Platform Technologies
Apple · Seattle, WA
Senior Bachelor's
2026-06-02
Requirements
  • Bachelor's degree or higher in Computer Science or related technical field.
  • 5 year+ industry experience in distributed system and ML Modeling (Search, Recommendation, NLP, Ads, Statistics).
  • Experience with high throughput services particularly at supercomputing scale.
  • Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
  • Proficient in building and maintaining systems written in modern languages (eg: Golang, Rust, Python)
Preferred
  • Familiar with GenAI Applications and popular agentic framework like Langchain and Langgraph
  • Familiar with embedding model and llm serving like Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.
  • Familiar with very large scale serving system
Responsibilities
  • Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
  • At Apple, imagination and ambition come together to shape what's next. Every product we build, every service we design, and every experience we deliver is born from collaboration-making each other's ideas stronger and more impactful. We believe in thinking differently, challenging the status quo, and pushing the boundaries of technology and intelligence to create products that bring joy and change lives for the better. Our strength comes from the diversity of our people and perspectives, and when everyone is included, we do the best work of our lives. If you're bold, curious, and passionate about building best-in-class technology, Apple is the place to not just join something-but to add something.
  • As part of this group, you will develop GenAI search and recommendation application end to end and partner with a lot of engineering teams across Apple.
  • The Partner Adoption team, part of the Machine Learning Platform Technologies organization, is the backbone of onboarding applications to Apple's world-class search and recommendation platform. In this role, you'll work end-to-end on feature and product design across a broad range of Apple services-including Apple Music, TV+, App Store, Books, Games, Podcasts, Siri, and more. As a key member of the team, you'll design and build large-scale server-side functionality while also exploring and delivering cutting-edge GenAI applications and features powered by large language models. You'll partner closely with product, platform, and design teams to bring innovations to life-reaching millions, and even billions, of users worldwide with the reliability and excellence Apple is known for.
View full posting on CareerOneStop → ID: 5016dea3e918
Data Scientist, PPE Product Intelligence
Amazon · Seattle, WA
Mid-level Bachelor's
2026-06-02
Requirements
  • 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
  • Bachelor's degree
Preferred
  • Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
  • Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
Responsibilities
  • Design and run rigorous experiments at scale to evaluate and improve foundation model performance across hundreds of millions of products, geographies, and business verticals
  • Lead the end-to-end lifecycle of evaluation models - from research and experimentation through production launch - including defining success metrics, obtaining stakeholder sign-off, and managing rollout
  • Conduct online and offline labs to measure the real-world impact of model improvements beyond accuracy, including downstream supply chain, inventory, and financial outcomes
  • Develop and deploy production-grade statistical models using Python, Scala, SQL, and related tools
  • Perform large-scale exploratory data analysis to uncover patterns, identify opportunities, and inform model development
  • Translate complex research findings into clear insights and recommendations for technical and non-technical stakeholders at all levels
  • No two days look the same, but most will involve some combination of deep technical work, cross-functional collaboration, and scientific thinking at a scale you won't find anywhere else.
  • You might start the morning reviewing the results of an experiment running across hundreds of millions of products - analyzing whether a new foundation model variant is improving generalization on cold-start items, or whether a novel data generation approach is meaningfully shifting forecast quality. You'll dig into the numbers, form a hypothesis, and design the next iteration.
  • Later in the day, you could be in a stakeholder review, walking business and engineering partners through a set of launch metrics - explaining not just forecast accuracy, but the downstream supply chain and financial impact your model is driving. Getting a model to production at Amazon requires rigor: you'll define success criteria, run online and offline labs to validate real-world impact, and build the case for sign-off across technical and business stakeholders.
  • You'll write code - Python, Scala, SQL - to process and analyze data at a scale most scientists never encounter. You'll collaborate closely with scientists, engineers, and business teams, and contribute to research that has a real chance of being published and advancing the field.
View full posting on CareerOneStop → ID: 076ebf6dc450
Consultant - Data Science / Data Lake
Deloitte · Seattle, WA
Mid-level Bachelor's
2026-05-31
Requirements
  • 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
  • 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
  • Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
  • Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.
Preferred
  • Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
  • Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support
  • Experience parsing and normalizing cyber or information technology telemetry datasets
  • Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
  • Experience with Apache Kafka, Storm, or Spark
  • Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio
  • The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is .
  • You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
View full posting on CareerOneStop → ID: 3541197cdfca
Technical Project Manager - Machine Learning & Data Science
Cadmus · Olympia, WA
Manager Bachelor's
2026-05-30
Requirements
  • 5+ years of experience as a Technical Project Manager or Scrum Master, managing cross-functional projects.
  • Bachelor's degree in Information Systems, BI or Analytics or Engineering.
  • Strong technical proficiency and experience working with Machine Learning (ML) or Data Science/Artificial Intelligence (DS/AI) teams.
  • Experience managing large, ambiguous, cross-functional programs operating in fast-paced, highly collaborative environments.
  • Experience performing TPM best practices (e.g., schedule development and tracking, risk management, status reporting).
  • Experience regularly maintaining and reporting program data, preferably in Jira.
  • Deep understanding of Agile and SDLC methodologies and leading/modeling process adherence.
  • Excellent communication and problem-solving skills.
  • Ability to facilitate teams and individuals working collaboratively and efficiently.
  • A composed presence, business acumen, and ability to communicate at multiple levels of the organization.
  • Experience with automation and/or AI tools such as ChatGPT, Gemini, etc.
  • Preferred certifications: PMP or Scrum Master.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals, and objectives of the company. Coordinate activities with internal teams and external partners.
  • Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team's activities and interdependencies between teams. Manage removing blockers, risks, and issues. Report program status.
  • Lead Agile ceremonies and assist with story definition, backlog prioritization, and dependency resolution.
  • Help Engineering teams balance scope, timeline, and quality to achieve optimal outcomes based on an understanding of priorities.
  • Advocate for clear priorities, technical excellence, process and best practices adherence, and customer-focused outcomes.
  • Influence without authority and drive consensus across diverse stakeholders.
View full posting on CareerOneStop → ID: 9a2c5d789c8e
Technical Project Manager - Machine Learning & Data Science
Cadmus · Boise, ID
Manager Bachelor's
2026-05-30
Requirements
  • 5+ years of experience as a Technical Project Manager or Scrum Master, managing cross-functional projects.
  • Bachelor's degree in Information Systems, BI or Analytics or Engineering.
  • Strong technical proficiency and experience working with Machine Learning (ML) or Data Science/Artificial Intelligence (DS/AI) teams.
  • Experience managing large, ambiguous, cross-functional programs operating in fast-paced, highly collaborative environments.
  • Experience performing TPM best practices (e.g., schedule development and tracking, risk management, status reporting).
  • Experience regularly maintaining and reporting program data, preferably in Jira.
  • Deep understanding of Agile and SDLC methodologies and leading/modeling process adherence.
  • Excellent communication and problem-solving skills.
  • Ability to facilitate teams and individuals working collaboratively and efficiently.
  • A composed presence, business acumen, and ability to communicate at multiple levels of the organization.
  • Experience with automation and/or AI tools such as ChatGPT, Gemini, etc.
  • Preferred certifications: PMP or Scrum Master.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals, and objectives of the company. Coordinate activities with internal teams and external partners.
  • Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team's activities and interdependencies between teams. Manage removing blockers, risks, and issues. Report program status.
  • Lead Agile ceremonies and assist with story definition, backlog prioritization, and dependency resolution.
  • Help Engineering teams balance scope, timeline, and quality to achieve optimal outcomes based on an understanding of priorities.
  • Advocate for clear priorities, technical excellence, process and best practices adherence, and customer-focused outcomes.
  • Influence without authority and drive consensus across diverse stakeholders.
View full posting on CareerOneStop → ID: 6009b75ef456
Technical Project Manager - Machine Learning & Data Science
Cadmus · Salem, OR
Manager Bachelor's
2026-05-30
Requirements
  • 5+ years of experience as a Technical Project Manager or Scrum Master, managing cross-functional projects.
  • Bachelor's degree in Information Systems, BI or Analytics or Engineering.
  • Strong technical proficiency and experience working with Machine Learning (ML) or Data Science/Artificial Intelligence (DS/AI) teams.
  • Experience managing large, ambiguous, cross-functional programs operating in fast-paced, highly collaborative environments.
  • Experience performing TPM best practices (e.g., schedule development and tracking, risk management, status reporting).
  • Experience regularly maintaining and reporting program data, preferably in Jira.
  • Deep understanding of Agile and SDLC methodologies and leading/modeling process adherence.
  • Excellent communication and problem-solving skills.
  • Ability to facilitate teams and individuals working collaboratively and efficiently.
  • A composed presence, business acumen, and ability to communicate at multiple levels of the organization.
  • Experience with automation and/or AI tools such as ChatGPT, Gemini, etc.
  • Preferred certifications: PMP or Scrum Master.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals, and objectives of the company. Coordinate activities with internal teams and external partners.
  • Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team's activities and interdependencies between teams. Manage removing blockers, risks, and issues. Report program status.
  • Lead Agile ceremonies and assist with story definition, backlog prioritization, and dependency resolution.
  • Help Engineering teams balance scope, timeline, and quality to achieve optimal outcomes based on an understanding of priorities.
  • Advocate for clear priorities, technical excellence, process and best practices adherence, and customer-focused outcomes.
  • Influence without authority and drive consensus across diverse stakeholders.
View full posting on CareerOneStop → ID: a610d659809f
Technical Project Manager - Machine Learning & Data Science
Cadmus · Helena, MT
Manager Bachelor's
2026-05-30
Requirements
  • 5+ years of experience as a Technical Project Manager or Scrum Master, managing cross-functional projects.
  • Bachelor's degree in Information Systems, BI or Analytics or Engineering.
  • Strong technical proficiency and experience working with Machine Learning (ML) or Data Science/Artificial Intelligence (DS/AI) teams.
  • Experience managing large, ambiguous, cross-functional programs operating in fast-paced, highly collaborative environments.
  • Experience performing TPM best practices (e.g., schedule development and tracking, risk management, status reporting).
  • Experience regularly maintaining and reporting program data, preferably in Jira.
  • Deep understanding of Agile and SDLC methodologies and leading/modeling process adherence.
  • Excellent communication and problem-solving skills.
  • Ability to facilitate teams and individuals working collaboratively and efficiently.
  • A composed presence, business acumen, and ability to communicate at multiple levels of the organization.
  • Experience with automation and/or AI tools such as ChatGPT, Gemini, etc.
  • Preferred certifications: PMP or Scrum Master.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals, and objectives of the company. Coordinate activities with internal teams and external partners.
  • Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team's activities and interdependencies between teams. Manage removing blockers, risks, and issues. Report program status.
  • Lead Agile ceremonies and assist with story definition, backlog prioritization, and dependency resolution.
  • Help Engineering teams balance scope, timeline, and quality to achieve optimal outcomes based on an understanding of priorities.
  • Advocate for clear priorities, technical excellence, process and best practices adherence, and customer-focused outcomes.
  • Influence without authority and drive consensus across diverse stakeholders.
View full posting on CareerOneStop → ID: e8819b62977f
Senior AI/ML Engineer
Eliassen Group · Boise, ID
Senior Bachelor's
2026-05-29
Requirements
  • 10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.
  • Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.
  • Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.
  • Strong Python skills with TensorFlow and PyTorch.
  • Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred.
  • Experience with image transformer models for document image understanding, including Microsoft DiT.
  • Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks.
  • Integration of transformers into OCR pipelines and collaboration with OCR technologies.
  • OpenCV-based image processing for document analysis.
  • CI/CD with Terraform, GitLab, and GitLab Runner.
  • Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services.
  • Familiarity with AI coding tools such as Claude and Codex.
  • Strong problem solving and communication skills with ability to work independently.
  • AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner.
  • Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years.
Education
  • BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience.
  • Additional experience does not substitute for the education requirement.
  • *_Recruitment Transparency Notice_
  • *_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
  • _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
Responsibilities
  • Engineer AI solutions using LLM providers and implement complex multi-agent workflows.
  • Design and develop predictive models using regression, classification, clustering, and neural networks.
  • Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.
  • Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.
  • Apply software engineering best practices for maintainable, efficient, reliable, and secure code.
  • Identify and resolve performance bottlenecks and security vulnerabilities.
  • Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans.
  • Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution.
  • Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives.
View full posting on CareerOneStop → ID: fcb795557c82
Data Scientist, Demand Forecasting
Amazon · Bellevue, WA
Mid-level Bachelor's
2026-05-29
Requirements
  • 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
  • Bachelor's degree
Preferred
  • Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
  • Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
Responsibilities
  • Design and run rigorous experiments at scale to evaluate and improve foundation model performance across hundreds of millions of products, geographies, and business verticals
  • Lead the end-to-end lifecycle of forecasting models - from research and experimentation through production launch - including defining success metrics, obtaining stakeholder sign-off, and managing rollout
  • Conduct online and offline labs to measure the real-world impact of forecast improvements beyond accuracy, including downstream supply chain, inventory, and financial outcomes
  • Develop and deploy production-grade deep learning and statistical models using Python, Scala, SQL, and related tools
  • Perform large-scale exploratory data analysis to uncover patterns, identify opportunities, and inform model development
  • Translate complex research findings into clear insights and recommendations for technical and non-technical stakeholders at all levels
  • Contribute to Amazon's scientific community and the broader research field through collaboration and publication in top-tier venues
  • No two days look the same, but most will involve some combination of deep technical work, cross-functional collaboration, and scientific thinking at a scale you won't find anywhere else.
  • You might start the morning reviewing the results of an experiment running across hundreds of millions of products - analyzing whether a new foundation model variant is improving generalization on cold-start items, or whether a novel data generation approach is meaningfully shifting forecast quality. You'll dig into the numbers, form a hypothesis, and design the next iteration.
  • Later in the day, you could be in a stakeholder review, walking business and engineering partners through a set of launch metrics - explaining not just forecast accuracy, but the downstream supply chain and financial impact your model is driving. Getting a model to production at Amazon requires rigor: you'll define success criteria, run online and offline labs to validate real-world impact, and build the case for sign-off across technical and business stakeholders.
  • You'll write code - Python, Scala, SQL - to process and analyze data at a scale most scientists never encounter. You'll collaborate closely with scientists, engineers, and business teams, and contribute to research that has a real chance of being published and advancing the field.
  • The work is hard, the problems are unsolved, and the impact is immediate. If you want to do research that ships - this is where you do it.
  • Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
  • The benefits that generally apply to regular, full-time employees include:
  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
  • At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
View full posting on CareerOneStop → ID: db6094b0d370
Manager - Data Science / Data Lake
Deloitte · Seattle, WA
Manager Bachelor's
2026-05-29
Requirements
  • 10+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
  • 10+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 10+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
  • Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
  • Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.
Preferred
  • Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
  • Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response acceleration
  • Experience parsing and normalizing cyber or information technology telemetry datasets
  • Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
  • Experience with Apache Kafka, Storm, or Spark
  • Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio
  • The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
  • You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
View full posting on CareerOneStop → ID: 6e0e84031d18
Senior AI/ML Engineer
Eliassen Group · Olympia, WA
Senior Bachelor's
2026-05-29
Requirements
  • 10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.
  • Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.
  • Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.
  • Strong Python skills with TensorFlow and PyTorch.
  • Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred.
  • Experience with image transformer models for document image understanding, including Microsoft DiT.
  • Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks.
  • Integration of transformers into OCR pipelines and collaboration with OCR technologies.
  • OpenCV-based image processing for document analysis.
  • CI/CD with Terraform, GitLab, and GitLab Runner.
  • Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services.
  • Familiarity with AI coding tools such as Claude and Codex.
  • Strong problem solving and communication skills with ability to work independently.
  • AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner.
  • Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years.
Education
  • BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience.
  • Additional experience does not substitute for the education requirement.
  • *_Recruitment Transparency Notice_
  • *_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
  • _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
Responsibilities
  • Engineer AI solutions using LLM providers and implement complex multi-agent workflows.
  • Design and develop predictive models using regression, classification, clustering, and neural networks.
  • Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.
  • Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.
  • Apply software engineering best practices for maintainable, efficient, reliable, and secure code.
  • Identify and resolve performance bottlenecks and security vulnerabilities.
  • Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans.
  • Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution.
  • Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives.
View full posting on CareerOneStop → ID: 8f083dedf38a
Senior AI/ML Engineer
Eliassen Group · Salem, OR
Senior Bachelor's
2026-05-29
Requirements
  • 10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.
  • Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.
  • Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.
  • Strong Python skills with TensorFlow and PyTorch.
  • Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred.
  • Experience with image transformer models for document image understanding, including Microsoft DiT.
  • Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks.
  • Integration of transformers into OCR pipelines and collaboration with OCR technologies.
  • OpenCV-based image processing for document analysis.
  • CI/CD with Terraform, GitLab, and GitLab Runner.
  • Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services.
  • Familiarity with AI coding tools such as Claude and Codex.
  • Strong problem solving and communication skills with ability to work independently.
  • AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner.
  • Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years.
Education
  • BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience.
  • Additional experience does not substitute for the education requirement.
  • *_Recruitment Transparency Notice_
  • *_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
  • _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
Responsibilities
  • Engineer AI solutions using LLM providers and implement complex multi-agent workflows.
  • Design and develop predictive models using regression, classification, clustering, and neural networks.
  • Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.
  • Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.
  • Apply software engineering best practices for maintainable, efficient, reliable, and secure code.
  • Identify and resolve performance bottlenecks and security vulnerabilities.
  • Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans.
  • Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution.
  • Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives.
View full posting on CareerOneStop → ID: d5fd6d64d416
Senior AI/ML Engineer
Eliassen Group · Helena, MT
Senior Bachelor's
2026-05-29
Requirements
  • 10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.
  • Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.
  • Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.
  • Strong Python skills with TensorFlow and PyTorch.
  • Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred.
  • Experience with image transformer models for document image understanding, including Microsoft DiT.
  • Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks.
  • Integration of transformers into OCR pipelines and collaboration with OCR technologies.
  • OpenCV-based image processing for document analysis.
  • CI/CD with Terraform, GitLab, and GitLab Runner.
  • Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services.
  • Familiarity with AI coding tools such as Claude and Codex.
  • Strong problem solving and communication skills with ability to work independently.
  • AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner.
  • Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years.
Education
  • BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience.
  • Additional experience does not substitute for the education requirement.
  • *_Recruitment Transparency Notice_
  • *_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening_ _and hiring_ _process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_ _noreply@eliassen.com_ _, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._
  • _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
Responsibilities
  • Engineer AI solutions using LLM providers and implement complex multi-agent workflows.
  • Design and develop predictive models using regression, classification, clustering, and neural networks.
  • Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.
  • Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.
  • Apply software engineering best practices for maintainable, efficient, reliable, and secure code.
  • Identify and resolve performance bottlenecks and security vulnerabilities.
  • Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans.
  • Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution.
  • Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives.
View full posting on CareerOneStop → ID: 6ea19695b6ae
Machine Learning Engineer, AWS Applied AI Solution
Amazon · Seattle, WA
Mid-level Bachelor's
2026-05-27
Requirements
  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 1+ years of software development engineer or related occupational experience
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1+ years of Object Oriented Design experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language
Preferred
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent
Responsibilities
  • Work closely with Applied Scientists and cross-functional engineering teams to transform research code into robust, scalable production systems
  • Own end-to-end deployment at scale of Generative AI and ML methods, ensuring reliability and performance
  • Establish scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation and serving
  • Research and implement innovative approaches for efficient model deployment, training, and optimization
  • Document processes and methods for both technical and non-technical audiences, ensuring knowledge transfer and best practices
  • Contribute to code reviews and maintain high engineering standards across the team
  • Mentor junior MLEs and actively participate in recruiting top talent to grow
  • Present outcomes and explain technical approaches to senior leadership, translating complex concepts into business impact
View full posting on CareerOneStop → ID: bad8b55da3c4
Data Scientist III - AMZ9442729
Amazon · Seattle, WA
Mid-level Bachelor's
2026-05-23
Requirements
  • Bachelor's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science or a related field and two years of experience in the job offered or a related occupation. Employer will accept four years of experience as equivalent to the Bachelor's degree and two years of experience. Must have one year of experience in the following skills: (1) building statistical models and machine learning models using large datasets from multiple resources; (2) building complex data analyses by leveraging scripting languages including Python, Java, or related scripting language; and (3) communicating with users, technical teams, and management to collect requirements, evaluate alternatives, and develop processes and tools to support the organization.
Preferred
  • Please see job description and the position requirements above.
Responsibilities
  • Own the data science elements of various products to help with data-based decision making, product performance optimization, and product performance tracking. Work directly with product managers to help drive the design of the product. Work with Technical Product Managers to help drive the build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables. Own the analysis, modelling, system design, and development of data science solutions for products. Write documents and make presentations that explain model/analysis results to the business. Bridge the degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy.
View full posting on CareerOneStop → ID: b84a4680a0d4
Data Scientist -Project Delivery Senior Analyst - AI & Engineering
Deloitte · Boise, ID
Senior Bachelor's
2026-05-23
Requirements
  • 4+ years of experience Proficiency with Python, statistical modeling, and machine learning frameworks (e.g. scikit-learn, PyTorch, TensorFlow).
  • 4+ years of experience with feature engineering, model development, validation, and deployment.
  • 4+ years of experience Understanding of MLOps pipelines, model versioning, monitoring, and retraining processes.
  • 4+ years of experience Ability to translate complex business problems into analytical solutions with measurable outcomes.
  • 4+ years of experience Strong knowledge of data wrangling, exploratory analysis, and visualization.
  • 4+ years of experience Familiarity with cloud ML services (e.g. SageMaker, Azure ML, Fabric ML).
  • 4+ years of experience communicating and explaining insights and model behavior to non-technical stakeholders
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations
  • The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $72,900-$134,000
Responsibilities
  • The Data Scientist will analyze, cleanse, and model complex data to help organizations make better decisions and predict future trends.
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
  • Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
View full posting on CareerOneStop → ID: 4fa3856975f3
Data Scientist III - AMZ9442729
AMAZON.COM SERVICES LLC · Seattle, WA
Mid-level Bachelor's
2026-05-23
Requirements
  • Bachelor's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science or a related field and two years of experience in the job offered or a related occupation. Employer will accept four years of experience as equivalent to the Bachelor's degree and two years of experience. Must have one year of experience in the following skills: (1) building statistical models and machine learning models using large datasets from multiple resources; (2) building complex data analyses by leveraging scripting languages including Python, Java, or related scripting language; and (3) communicating with users, technical teams, and management to collect requirements, evaluate alternatives, and develop processes and tools to support the organization.
Responsibilities
  • Own the data science elements of various products to help with data-based decision making, product performance optimization, and product performance tracking. Work directly with product managers to help drive the design of the product. Work with Technical Product Managers to help drive the build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables. Own the analysis, modelling, system design, and development of data science solutions for products. Write documents and make presentations that explain model/analysis results to the business. Bridge the degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy.
View full posting on CareerOneStop → ID: 443c7d8f5701
AI/ML Engineer - Higher Ed
Cengage Group · Seattle, WA
Mid-level Bachelor's
2026-05-22
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 4+ years of experience in software engineering, with at least 2 years focused on AI/ML
  • Strong proficiency in Python with experience building production ML or LLM systems
  • Hands-on experience with modern AI APIs (OpenAI, Anthropic, AWS Bedrock)
  • Experience with RAG architectures, vector databases, and embedding models
  • Solid software engineering fundamentals including testing, CI/CD, and system design
  • Experience shipping production features at scale (thousands or millions of users)
  • Strong communication skills to work with product, design, and research partners
Preferred
  • Experience in EdTech or adjacent domains with production education AI features
  • Familiarity with agentic AI frameworks (LangChain, LlamaIndex, CrewAI)
  • Background in learning science, educational psychology, or instructional design
  • Experience with FERPA compliance and education-industry data handling
  • Familiarity with accessibility standards (WCAG, Section 508, DOJ accessibility)
  • Experience with fine-tuning, LoRA, or custom model training
  • *Tools & Technologies
  • You should be comfortable with many of the following:
  • Languages: Python, JavaScript/TypeScript, SQL
  • AI/ML: OpenAI API, Anthropic API, AWS Bedrock, LangChain, LlamaIndex, Hugging Face
  • Vector DBs: Pinecone, Weaviate, pgvector, Chroma
  • Cloud: AWS (Lambda, ECS, SageMaker, Bedrock), Azure OpenAI
  • Data: Snowflake, Databricks, Postgres, Redis
  • DevOps: Docker, Terraform, GitHub Actions, CI/CD pipelines
  • *Key Competencies
  • Shipping Mindset - delivers features weekly, not quarterly
  • Technical Craft - writes clean, tested, production-grade code
  • Learning Orientation - cares about whether AI actually improves learning outcomes
  • Systems Thinking - sees the full platform and integrates AI cleanly
  • Collaboration - partners effectively with product, design, research, and platform engineering
  • Continuous Improvement - iterates on models and features based on data
Responsibilities
  • *HED AI Feature Development
  • Ship and improve AI features weekly across Cengage HED platforms
  • Build and integrate Student Assistant capabilities including tutoring, hinting, and feedback
  • Develop Instructor Insight Assistant features for course analytics and at-risk student identification
  • Create Content Studio capabilities for AI-assisted content authoring and adaptation
  • Integrate LLMs, RAG systems, and agentic workflows into HED platform architectures
  • *Platform Integration & Engineering
  • Integrate AI features into existing HED platform architectures and data systems
  • Partner with platform engineering on API design, scaling, and production deployment
  • Build retrieval systems against Cengage's proprietary content library (books, assessments, media)
  • Ensure AI features meet FERPA compliance and accessibility standards (WCAG, DOJ)
  • Resolve technical blockers and production issues with urgency
  • *Measurement & Optimization
  • Monitor feature usage, engagement, and learning outcome impact
  • Track and improve model performance on quality, cost, and latency dimensions
  • Partner with learning scientists and researchers on efficacy measurement
  • Iterate rapidly based on student feedback, instructor feedback, and usage telemetry
  • Maintain documentation and engineering runbooks for deployed AI features
View full posting on CareerOneStop → ID: de5d6ba5cd8f
Senior Consultant - Data Science / Data Lake
Deloitte · Seattle, WA
Senior Bachelor's
2026-05-22
Requirements
  • 3+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
  • 2+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 2+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
  • Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
  • Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.
Preferred
  • Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
  • Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response acceleration
  • Experience parsing and normalizing cyber or information technology telemetry datasets
  • Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
  • Experience with Apache Kafka, Storm, or Spark
  • Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio
  • The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
  • You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
View full posting on CareerOneStop → ID: 05bde5bca4e7
AI/ML Engineer - Higher Ed
Cengage Group · Portland, OR
Mid-level Bachelor's
2026-05-22
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 4+ years of experience in software engineering, with at least 2 years focused on AI/ML
  • Strong proficiency in Python with experience building production ML or LLM systems
  • Hands-on experience with modern AI APIs (OpenAI, Anthropic, AWS Bedrock)
  • Experience with RAG architectures, vector databases, and embedding models
  • Solid software engineering fundamentals including testing, CI/CD, and system design
  • Experience shipping production features at scale (thousands or millions of users)
  • Strong communication skills to work with product, design, and research partners
Preferred
  • Experience in EdTech or adjacent domains with production education AI features
  • Familiarity with agentic AI frameworks (LangChain, LlamaIndex, CrewAI)
  • Background in learning science, educational psychology, or instructional design
  • Experience with FERPA compliance and education-industry data handling
  • Familiarity with accessibility standards (WCAG, Section 508, DOJ accessibility)
  • Experience with fine-tuning, LoRA, or custom model training
  • *Tools & Technologies
  • You should be comfortable with many of the following:
  • Languages: Python, JavaScript/TypeScript, SQL
  • AI/ML: OpenAI API, Anthropic API, AWS Bedrock, LangChain, LlamaIndex, Hugging Face
  • Vector DBs: Pinecone, Weaviate, pgvector, Chroma
  • Cloud: AWS (Lambda, ECS, SageMaker, Bedrock), Azure OpenAI
  • Data: Snowflake, Databricks, Postgres, Redis
  • DevOps: Docker, Terraform, GitHub Actions, CI/CD pipelines
  • *Key Competencies
  • Shipping Mindset - delivers features weekly, not quarterly
  • Technical Craft - writes clean, tested, production-grade code
  • Learning Orientation - cares about whether AI actually improves learning outcomes
  • Systems Thinking - sees the full platform and integrates AI cleanly
  • Collaboration - partners effectively with product, design, research, and platform engineering
  • Continuous Improvement - iterates on models and features based on data
Responsibilities
  • *HED AI Feature Development
  • Ship and improve AI features weekly across Cengage HED platforms
  • Build and integrate Student Assistant capabilities including tutoring, hinting, and feedback
  • Develop Instructor Insight Assistant features for course analytics and at-risk student identification
  • Create Content Studio capabilities for AI-assisted content authoring and adaptation
  • Integrate LLMs, RAG systems, and agentic workflows into HED platform architectures
  • *Platform Integration & Engineering
  • Integrate AI features into existing HED platform architectures and data systems
  • Partner with platform engineering on API design, scaling, and production deployment
  • Build retrieval systems against Cengage's proprietary content library (books, assessments, media)
  • Ensure AI features meet FERPA compliance and accessibility standards (WCAG, DOJ)
  • Resolve technical blockers and production issues with urgency
  • *Measurement & Optimization
  • Monitor feature usage, engagement, and learning outcome impact
  • Track and improve model performance on quality, cost, and latency dimensions
  • Partner with learning scientists and researchers on efficacy measurement
  • Iterate rapidly based on student feedback, instructor feedback, and usage telemetry
  • Maintain documentation and engineering runbooks for deployed AI features
View full posting on CareerOneStop → ID: d044f0171ecc
AI/ML Engineer - Higher Ed
Cengage Group · Boise, ID
Mid-level Bachelor's
2026-05-22
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 4+ years of experience in software engineering, with at least 2 years focused on AI/ML
  • Strong proficiency in Python with experience building production ML or LLM systems
  • Hands-on experience with modern AI APIs (OpenAI, Anthropic, AWS Bedrock)
  • Experience with RAG architectures, vector databases, and embedding models
  • Solid software engineering fundamentals including testing, CI/CD, and system design
  • Experience shipping production features at scale (thousands or millions of users)
  • Strong communication skills to work with product, design, and research partners
Preferred
  • Experience in EdTech or adjacent domains with production education AI features
  • Familiarity with agentic AI frameworks (LangChain, LlamaIndex, CrewAI)
  • Background in learning science, educational psychology, or instructional design
  • Experience with FERPA compliance and education-industry data handling
  • Familiarity with accessibility standards (WCAG, Section 508, DOJ accessibility)
  • Experience with fine-tuning, LoRA, or custom model training
  • *Tools & Technologies
  • You should be comfortable with many of the following:
  • Languages: Python, JavaScript/TypeScript, SQL
  • AI/ML: OpenAI API, Anthropic API, AWS Bedrock, LangChain, LlamaIndex, Hugging Face
  • Vector DBs: Pinecone, Weaviate, pgvector, Chroma
  • Cloud: AWS (Lambda, ECS, SageMaker, Bedrock), Azure OpenAI
  • Data: Snowflake, Databricks, Postgres, Redis
  • DevOps: Docker, Terraform, GitHub Actions, CI/CD pipelines
  • *Key Competencies
  • Shipping Mindset - delivers features weekly, not quarterly
  • Technical Craft - writes clean, tested, production-grade code
  • Learning Orientation - cares about whether AI actually improves learning outcomes
  • Systems Thinking - sees the full platform and integrates AI cleanly
  • Collaboration - partners effectively with product, design, research, and platform engineering
  • Continuous Improvement - iterates on models and features based on data
Responsibilities
  • *HED AI Feature Development
  • Ship and improve AI features weekly across Cengage HED platforms
  • Build and integrate Student Assistant capabilities including tutoring, hinting, and feedback
  • Develop Instructor Insight Assistant features for course analytics and at-risk student identification
  • Create Content Studio capabilities for AI-assisted content authoring and adaptation
  • Integrate LLMs, RAG systems, and agentic workflows into HED platform architectures
  • *Platform Integration & Engineering
  • Integrate AI features into existing HED platform architectures and data systems
  • Partner with platform engineering on API design, scaling, and production deployment
  • Build retrieval systems against Cengage's proprietary content library (books, assessments, media)
  • Ensure AI features meet FERPA compliance and accessibility standards (WCAG, DOJ)
  • Resolve technical blockers and production issues with urgency
  • *Measurement & Optimization
  • Monitor feature usage, engagement, and learning outcome impact
  • Track and improve model performance on quality, cost, and latency dimensions
  • Partner with learning scientists and researchers on efficacy measurement
  • Iterate rapidly based on student feedback, instructor feedback, and usage telemetry
  • Maintain documentation and engineering runbooks for deployed AI features
View full posting on CareerOneStop → ID: 8f1d85c81181
Sr Data Scientist, WWSO Bedrock
Amazon · Seattle, WA
Senior Bachelor's
2026-05-19
Requirements
  • 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 4+ years of data scientist experience
  • Experience with statistical models e.g. multinomial logistic regression
  • 5+ years of management of technical, enterprise customer facing resources or equivalent experience
  • 7+ years design/implementation/consulting experience of distributed applications
  • 5+ years of hands-on experience with AI/ML or related technology domain
  • 3+ years of hands-on experience with Responsible AI
Preferred
  • 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
  • Experience managing data pipelines
  • Experience as a leader and mentor on a data science team
  • Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
  • Experience with presentations and speaking with executives, IT, management, and developers
  • BS degree in computer science or equivalent, or 4+ years of technical work experience
  • History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises
  • Track record of thought leadership and innovation around Responsible AI.
Responsibilities
  • Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, troubleshoot customer issues, and explore new solutions. You will interact closely with our customers and with the academic community.
  • Thought Leadership - Evangelize AWS features relating to Responsible AI and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
  • Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.
  • Develop and support an AWS internal community of ML related subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.
View full posting on CareerOneStop → ID: 6848b7bbe5b6
Technical Program Manager II, Data Center Planning, Machine Learning
Google · Kirkland, WA
Manager Bachelor's
2026-05-16
Requirements
  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 2 years of experience in program management.
  • Experience in one of the following planning areas (e.g., capacity planning, supply planning, demand planning, or data center planning).
  • Experience in data modeling and analysis.
Preferred
  • 5 years of experience in capacity planning, strategic operations planning, data analytics, inventory optimization, or management/operations consulting.
  • 2 years of experience managing cross-functional or cross-team projects.
  • Experience collaborating and influencing stakeholders spanning across multiple organizations and different levels of responsibilities.
  • Demonstrated ability to take complex, ambiguous topics and create compelling narratives and present them to leadership.
  • Ability to shift between direct detailed analysis and big picture thinking and customizing communication based on the audience.
  • Excellent data analysis skills (e.g., Sheets, SQL).
Responsibilities
  • A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
  • The Data Center Planning organization is responsible for identifying the most cost-efficient set of data centers to meet a 5-year forecast demand signal and for identifying and planning the Product Areas (PAs) who will occupy them. We drive alignment on what we should build, where, when, and who may occupy it through the Building Demand Plan (BDP) and Earmarks, an extensive set of optimization processes which provides demand justification and outlook for capital funding of data centers. This in turn provides signals to the downstream partner teams to identify new supply options and expansion of current facilities and assets. Within DCP, the Demand and Allocation Planning team is responsible for developing and maintaining our end-to-end power plan of record and continuously seeking to deliver further optimization through extensive scenario planning. We provide key upstream and downstream partners with chase signals, driving the acquisition of additional capacity, configuration of facilities to support the latest ML chips, and even where we may need to shape demand between geographies.
  • Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
  • The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
  • Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
  • Offer clear, concise, and logical judgment and actionable recommendations to partners and executives in a timely manner regarding Google's data center capacity needs.
  • Use data to identify planning solutions and provide advice to business leaders across the organization.
  • Codify, maintain, and update Google PAs' technical and business requirements in partnership with Product Area Resource Managers (PARMs), and use them to influence execution and Google's spend and capacity allocation decisions.
  • Implement new DC power planning initiatives, including automation with engineering support and cross-functional policy changes.
  • Work with the customer to manage and resolve all DC capacity related issues and escalations.
  • Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
View full posting on CareerOneStop → ID: 19e4e76090b4
Post Bachelor's Research Associate - AI & Data Science for National Security
Pacific Northwest National Laboratory · Richland, WA
Entry-level Bachelor's
2026-05-16
Requirements
  • Candidates must have received a Bachelor's degree within the past 24 months or within the next 8 months from an accredited college or university.
  • U.S. Citizenship
  • Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
  • As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
  • For foreign national candidates:
  • If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.
  • Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
  • *Rockstar Rewards
Preferred
  • Degree in Computer Science, Data Science, Statistics, or Applied Mathematics.
  • Experience programming in Python; AI/ML packages like PyTorch, computer vision libraries (torchvision, PIL), AWS integrations (SageMaker, S3, boto3), message queues (Kafka) and database languages such as SQL.
  • Experience with production systems or working in operationally-focused environments.
  • Comfort working across a full cloud-based pipeline from research to implementation and testing to deployment.
  • Previous experience as intern supporting the National Security domain at a National Laboratory.
Responsibilities
  • Innovate and operationalize multimodal AI/ML solutions, integrating radiographic analysis, text processing, and real-time sensor information to address challenges in national security.
  • Drive impactful results from research to operational deployment, translating technical work into immediate real-world impact through direct integration with active systems and in presentation form to diverse audiences with varied technical backgrounds.
  • Ensure the reproducibility and documentation of all code and analytical pipelines to support a high standard of scientific and technical rigor, including GitOps practices, managing infrastructure and application code via version control.
  • Own research direction and drive independent initiative, in this setting decisions and outcomes directly shape operational systems protecting national borders.
View full posting on CareerOneStop → ID: 18f78758e1cb
Data Science Manager
Maximus · Boise, ID
Manager Bachelor's
2026-05-15
Requirements
  • '- Bachelor's Degree in related field.
  • 5-7 years of relevant professional experience required.
  • Leadership skills with formal training and/or prior experience.
  • Programming Languages: SQL, Python, R.
  • Cloud Based DBMS: Snowflake, Amazon RDS (Oracle, SQL Server, MySQL), MongoDB, etc.
  • Experience with big data, including structured, semi-structured, and unstructured data.
  • Experience with machine learning, specifically in the domain of natural language processing (NLP).
Responsibilities
  • Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing vision, guidance, and mentorship to staff.
  • Compile and evaluate data to improve operations process or quality.
  • Assist with special projects, trend analysis, and problem-solving. Provide support to operational teams on issues that need deep dives to improve process, efficiency, or errors.
  • Establish a vision for productization of data science artifacts and delivering Data Science as a Service.
  • Work with reporting and business analyst to interpret/translate various datasets to tell a story to business partners and senior leadership team.
  • Assist in compiling, creating, and managing reporting.
  • Drive team alignment with key objectives that align with organizational and project goals.
  • Collect, arrange, and inspect data using various tools to create required reports.
  • Act as the primary liaison between project operational groups and client stakeholders, driving cross-functional alignment, elevating transparency across key stakeholder groups.
  • Collect, analyze, and interpret data into actionable opportunities for improvement.
  • Identify appropriate decision technology techniques to apply to relevant analytic frameworks.
  • Develop/maintain a consistent and cohesive reporting structure delivering regular data, reporting, and analysis to a variety of key stakeholders.
  • Specialize in performing research and analysis to devise strategies for optimal business operations and services, ensuring efficiency and increased productivity. Manage Business Analysts performance, determine priority, schedule according to business needs.
  • Gather & analyze data; Perform data discovery, analysis and modeling; Troubleshooting & problem-solving to support operations; root cause analysis, process improvement plans; reporting; deep dive into staffing, WFM, or operational issues.
  • Assist with project management; Collaborate with managers to meet operational expectations. Provide assistance with required and ad hoc reporting.
  • Prepare progress reports and presentations, updating databases as needed, maintain records and documentation.
  • Maintain reporting structures, ensuring reports are being delivered timely and accurately. Track, report, and communicate trends, error rates, or other business requests by operational leaders.
  • Oversight of provisioning/deprovisioning processes, working with Ops to ensure readiness for new hires.
View full posting on CareerOneStop → ID: be3e4ab14d9d
Data Science Manager
Maximus · Salem, OR
Manager Bachelor's
2026-05-15
Requirements
  • '- Bachelor's Degree in related field.
  • 5-7 years of relevant professional experience required.
  • Leadership skills with formal training and/or prior experience.
  • Programming Languages: SQL, Python, R.
  • Cloud Based DBMS: Snowflake, Amazon RDS (Oracle, SQL Server, MySQL), MongoDB, etc.
  • Experience with big data, including structured, semi-structured, and unstructured data.
  • Experience with machine learning, specifically in the domain of natural language processing (NLP).
Responsibilities
  • Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing vision, guidance, and mentorship to staff.
  • Compile and evaluate data to improve operations process or quality.
  • Assist with special projects, trend analysis, and problem-solving. Provide support to operational teams on issues that need deep dives to improve process, efficiency, or errors.
  • Establish a vision for productization of data science artifacts and delivering Data Science as a Service.
  • Work with reporting and business analyst to interpret/translate various datasets to tell a story to business partners and senior leadership team.
  • Assist in compiling, creating, and managing reporting.
  • Drive team alignment with key objectives that align with organizational and project goals.
  • Collect, arrange, and inspect data using various tools to create required reports.
  • Act as the primary liaison between project operational groups and client stakeholders, driving cross-functional alignment, elevating transparency across key stakeholder groups.
  • Collect, analyze, and interpret data into actionable opportunities for improvement.
  • Identify appropriate decision technology techniques to apply to relevant analytic frameworks.
  • Develop/maintain a consistent and cohesive reporting structure delivering regular data, reporting, and analysis to a variety of key stakeholders.
  • Specialize in performing research and analysis to devise strategies for optimal business operations and services, ensuring efficiency and increased productivity. Manage Business Analysts performance, determine priority, schedule according to business needs.
  • Gather & analyze data; Perform data discovery, analysis and modeling; Troubleshooting & problem-solving to support operations; root cause analysis, process improvement plans; reporting; deep dive into staffing, WFM, or operational issues.
  • Assist with project management; Collaborate with managers to meet operational expectations. Provide assistance with required and ad hoc reporting.
  • Prepare progress reports and presentations, updating databases as needed, maintain records and documentation.
  • Maintain reporting structures, ensuring reports are being delivered timely and accurately. Track, report, and communicate trends, error rates, or other business requests by operational leaders.
  • Oversight of provisioning/deprovisioning processes, working with Ops to ensure readiness for new hires.
View full posting on CareerOneStop → ID: ce74020e7d03
Data Science Manager
Maximus · Olympia, WA
Manager Bachelor's
2026-05-15
Requirements
  • '- Bachelor's Degree in related field.
  • 5-7 years of relevant professional experience required.
  • Leadership skills with formal training and/or prior experience.
  • Programming Languages: SQL, Python, R.
  • Cloud Based DBMS: Snowflake, Amazon RDS (Oracle, SQL Server, MySQL), MongoDB, etc.
  • Experience with big data, including structured, semi-structured, and unstructured data.
  • Experience with machine learning, specifically in the domain of natural language processing (NLP).
Responsibilities
  • Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing vision, guidance, and mentorship to staff.
  • Compile and evaluate data to improve operations process or quality.
  • Assist with special projects, trend analysis, and problem-solving. Provide support to operational teams on issues that need deep dives to improve process, efficiency, or errors.
  • Establish a vision for productization of data science artifacts and delivering Data Science as a Service.
  • Work with reporting and business analyst to interpret/translate various datasets to tell a story to business partners and senior leadership team.
  • Assist in compiling, creating, and managing reporting.
  • Drive team alignment with key objectives that align with organizational and project goals.
  • Collect, arrange, and inspect data using various tools to create required reports.
  • Act as the primary liaison between project operational groups and client stakeholders, driving cross-functional alignment, elevating transparency across key stakeholder groups.
  • Collect, analyze, and interpret data into actionable opportunities for improvement.
  • Identify appropriate decision technology techniques to apply to relevant analytic frameworks.
  • Develop/maintain a consistent and cohesive reporting structure delivering regular data, reporting, and analysis to a variety of key stakeholders.
  • Specialize in performing research and analysis to devise strategies for optimal business operations and services, ensuring efficiency and increased productivity. Manage Business Analysts performance, determine priority, schedule according to business needs.
  • Gather & analyze data; Perform data discovery, analysis and modeling; Troubleshooting & problem-solving to support operations; root cause analysis, process improvement plans; reporting; deep dive into staffing, WFM, or operational issues.
  • Assist with project management; Collaborate with managers to meet operational expectations. Provide assistance with required and ad hoc reporting.
  • Prepare progress reports and presentations, updating databases as needed, maintain records and documentation.
  • Maintain reporting structures, ensuring reports are being delivered timely and accurately. Track, report, and communicate trends, error rates, or other business requests by operational leaders.
  • Oversight of provisioning/deprovisioning processes, working with Ops to ensure readiness for new hires.
View full posting on CareerOneStop → ID: 30584effbdd7
Data Scientist, Amazon Devices, Devices Sales & Marketing
Amazon · Bellevue, WA
Mid-level Bachelor's
2026-05-14
Requirements
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 2+ years of data scientist experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Bachelor's degree
  • Experience applying theoretical models in an applied environment
Preferred
  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company
Responsibilities
  • The Amazon Devices organization designs, produces and markets Echo Speakers, Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players, Ring and Blink Smart Home & Security products. We are constantly looking to innovate on behalf of customers with new devices in existing or new categories or improving customer experience on existing platforms. The Devices Data Services (DDS) team provides Data Science, Analytics and Engineering support to the broader organization to enable Sales and Marketing activities across all these product lines.
  • We are looking for an innovative, hands-on and customer-obsessed Data Scientist who can be a strategic partner to the product managers and engineers on the team. Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, and building predictive machine learning models. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, is motivated to build something that will eventually become a production software system, and possesses strong communication skills to effectively interface between technical and business teams.
  • In this role, you will be a technical expert with massive impact. You will take the lead on developing
  • advanced ML systems that are key to reaching our customers with the right recommendations at the right time. Your work will directly impact the success of Amazon's growing Devices business. You will work across diverse science/engineering/business teams. You will work on critical data science problems, building high quality, reliable, accurate, and consistent code sets that are aligned with our business needs.
  • Key Performance Areas
  • Implement statistical or machine learning methods to solve specific business problems.
  • Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
  • Directly contribute to development of modern automated recommendation systems
  • Build customer-facing reporting tools to provide insights and metrics to track model performance and explain variance
  • Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedback
  • You will work with other scientists, engineers, product managers, and marketers to develop new products that benefit our customers and help us reach our business goals. You will own solutions from end to end: conceptualization, prioritization, development, delivery, and productionalization.
View full posting on CareerOneStop → ID: 505a54140149
Data Scientist, Senior
Booz Allen Hamilton INC. · Port Orchard, WA
Senior Bachelor's
2026-05-14

Job Number: R0239360 Data Scientist, Senior The Opportunity : As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an i

View full posting on CareerOneStop → ID: d593361ab7a0
Machine Learning Engineer, Ad Response Prediction
Amazon · Seattle, WA
Mid-level Bachelor's
2026-05-14
Requirements
  • 3+ years of non-internship professional software development experience
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • Knowledge of machine learning model architecture and inference
Preferred
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
  • Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
  • 1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
  • Experience developing, deploying and managing AI products at scale
Responsibilities
  • Own technical vision and direction - Identify problems, develop solutions, and embrace performance metrics to assess system health
  • Build and grow your team - Wear many hats (software design, implementation, project management, operations, business partnerships) and grow leaders within your group
  • Collaborate on product direction - Build strong relationships across engineering, Product, UX, and QA to deliver the right product for customers
  • Lead beyond your team - Contribute to a growing community of engineering leaders, sharing experience and technical acumen to drive org-wide technology decisions
  • Own your own shop - Our products reach hundreds of millions of customers globally; services must meet high standards for operational excellence (24x7x365)
  • Highly analytical - You solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making
  • Team obsessed - You grow team members, foster creative atmospheres for innovation, and hold engineers accountable for smart decisions and results
  • Humbitious - Ambitious yet humble; you use introspection and feedback to continuously raise the ba
  • Engaged by ambiguity - You explore new problem spaces with unique constraints and non-obvious solutions, quickly identifying gaps and the right people to fill them
View full posting on CareerOneStop → ID: 2a7c3a205fdf
Machine Learning Engineer, Ad Response Prediction
Amazon · Seattle, WA
Mid-level Bachelor's
2026-05-13
Requirements
  • 3+ years of non-internship professional software development experience
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • Knowledge of machine learning model architecture and inference
Preferred
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
  • Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
  • 1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
  • Experience developing, deploying and managing AI products at scale
Responsibilities
  • Own technical vision and direction - Identify problems, develop solutions, and embrace performance metrics to assess system health
  • Build and grow your team - Wear many hats (software design, implementation, project management, operations, business partnerships) and grow leaders within your group
  • Collaborate on product direction - Build strong relationships across engineering, Product, UX, and QA to deliver the right product for customers
  • Lead beyond your team - Contribute to a growing community of engineering leaders, sharing experience and technical acumen to drive org-wide technology decisions
  • Own your own shop - Our products reach hundreds of millions of customers globally; services must meet high standards for operational excellence (24x7x365)
  • Highly analytical - You solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making
  • Team obsessed - You grow team members, foster creative atmospheres for innovation, and hold engineers accountable for smart decisions and results
  • Humbitious - Ambitious yet humble; you use introspection and feedback to continuously raise the ba
  • Engaged by ambiguity - You explore new problem spaces with unique constraints and non-obvious solutions, quickly identifying gaps and the right people to fill them
View full posting on CareerOneStop → ID: 10037c1d3b1f
Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS) Foundations- Traffic
Amazon · Seattle, WA
Mid-level Bachelor's
2026-05-09
Requirements
  • Expertise in large-scale distributed data processing (Spark, EMR, or equivalent)
  • Demonstrated ownership of end-to-end system architecture on complex, cross-team projects
  • Ability to influence technical decisions across organizational boundaries without direct authority
  • Experience operating production systems under strict SLAs at massive scale
  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1+ years of Object Oriented Design experience
  • Experience programming with at least one software programming language
Preferred
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent
Responsibilities
  • As a SDE , you will:
  • Own team architecture and lead design on multi-engineer efforts across our Spark-based EMR pipelines, decoration jobs, and publication systems
  • Navigate ambiguous technical problems with conflicting constraints - regulatory deadlines, performance requirements, cost targets, and cross-org dependencies
  • Identify one-way-door decisions, proactively address architectural deficiencies, and ensure Traffic's design doesn't limit what downstream teams can build
  • Drive adoption of engineering best practices and maintain sound operations - alarms, telemetry, runbooks - for a system with tier-1 SLAs
  • Mentor engineers, contribute to recruiting, and lead constructive technical dialog within the team and across Ads, Customer Trust, and identity-owning upstream systems
  • On a typical day as an Ads Traffic SDE, you might:
  • Start your morning with a team stand-up to align on priorities and address any blockers
  • Collaborate with product managers to refine requirements for upcoming features
  • Write code and develop solutions for complex technical challenges
  • Review pull requests from team members, providing constructive feedback
  • Participate in design discussions for new services or features
  • Debug and troubleshoot production issues as they arise
  • Attend learning sessions to stay current with Ads technologies
  • Document your work and contribute to technical specifications
  • Engage with customers or internal stakeholders to better understand their needs
View full posting on CareerOneStop → ID: b5b20b65377f
Sr Systems Development Manager, ADC Analytics and Machine Learning
Amazon · Seattle, WA
Manager Bachelor's
2026-05-09
Requirements
  • Bachelor's degree in Computer Science or a related field
  • Proficiency in Linux based operating systems
  • Experience designing, building, and operating large-scale distributed systems or web services
  • Experience in managing large scale infrastructure and automation
  • Current, active US Government Security Clearance of TS/SCI with Polygraph
Preferred
  • Experience delivering large-scale infrastructure products that support Tier-1 mission critical services with a focus on privacy, security, availability, and efficiency
  • 5+ years of managing an engineering team operating at scale experience
  • Expertise in Linux based operating systems
  • Experience developing and improving operational documentation, procedures and workflows
  • Current, active US Government Security Clearance of Top Secret with SCI eligibility or above
Responsibilities
  • Build a best-in-class engineering team that delivers excellent results
  • Design and develop state-of-the-art approaches to solving complex and ambiguous problems
  • Cultivate engineering and operational excellence through metrics and continuous learning
  • Mentor and grow others to take on increasingly higher responsibilities
  • Help raise the bar on technical excellence
  • Show thought leadership
  • Communicate proficiently and concisely to different audiences
View full posting on CareerOneStop → ID: 81ea4aacf8f1
Sr. Data Scientist, Prime Video
Amazon · Seattle, WA
Senior Bachelor's
2026-05-09
Requirements
  • 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 4+ years of data scientist experience
  • Bachelor's degree
  • Experience with statistical models e.g. multinomial logistic regression
Preferred
  • 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
  • Experience managing data pipelines
  • Experience as a leader and mentor on a data science team
Responsibilities
  • Use advanced statistical and machine learning techniques to extract insights from complex, large-scale data sets
  • Design and implement end-to-end data science workflows, from data acquisition and cleaning to model development, testing, and deployment
  • Support scalable, self-service data analyses by building datasets for analytics, reporting and ML use cases
  • Partner with product stakeholders and science peers to identify strategic data-driven opportunities to improve the customer experience
  • Communicate findings, conclusions, and recommendations to technical and non-technical stakeholders
  • Stay up-to-date on the latest data science tools, techniques, and best practices and help evangelize them across the organization
View full posting on CareerOneStop → ID: 9a7848aa2859
Technical Project Manager - Machine Learning & Data Science
Cadmus · Olympia, WA
Manager Bachelor's
2026-05-09
Requirements
  • 5+ years of experience as a Technical Project Manager or Scrum Master, managing cross-functional projects.
  • Bachelor's degree in Information Systems, BI or Analytics or Engineering.
  • Strong technical proficiency and experience working with Machine Learning (ML) or Data Science/Artificial Intelligence (DS/AI) teams.
  • Experience managing large, ambiguous, cross-functional programs operating in fast-paced, highly collaborative environments.
  • Experience performing TPM best practices (e.g., schedule development and tracking, risk management, status reporting).
  • Experience regularly maintaining and reporting program data, preferably in Jira.
  • Deep understanding of Agile and SDLC methodologies and leading/modeling process adherence.
  • Excellent communication and problem-solving skills.
  • Ability to facilitate teams and individuals working collaboratively and efficiently.
  • A composed presence, business acumen, and ability to communicate at multiple levels of the organization.
  • Experience with automation and/or AI tools such as ChatGPT, Gemini, etc.
  • Preferred certifications: PMP or Scrum Master.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals, and objectives of the company. Coordinate activities with internal teams and external partners.
  • Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team's activities and interdependencies between teams. Manage removing blockers, risks, and issues. Report program status.
  • Lead Agile ceremonies and assist with story definition, backlog prioritization, and dependency resolution.
  • Help Engineering teams balance scope, timeline, and quality to achieve optimal outcomes based on an understanding of priorities.
  • Advocate for clear priorities, technical excellence, process and best practices adherence, and customer-focused outcomes.
  • Influence without authority and drive consensus across diverse stakeholders.
View full posting on CareerOneStop → ID: 61a801000082
Data Science - Forecasting & Lab, SCOT Forecasting & Lab
Amazon · Bellevue, WA
Mid-level Bachelor's
2026-05-06
Requirements
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 2+ years of data scientist experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Bachelor's degree
  • Experience applying theoretical models in an applied environment
Preferred
  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company
Responsibilities
  • Analysis of large amounts of data from different parts of the supply chain and their associated business functions
  • Improving upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models
  • Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them
  • Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations
  • Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical and machine learning models and algorithms
  • As a Data Scientist in SCOT, you will be tasked to understand and work with cutting edge research to enable the implementation of sophisticated models on big data. As a successful data scientist in the SCOT team, you are an analytical problem solver who enjoys diving into data from various businesses, is excited about investigations and algorithms, can multi-task, and can credibly interface between scientists, engineers and business stakeholders. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.
View full posting on CareerOneStop → ID: 7b49a33bff51
Data Scientist, Advertising, AMPI Measurement
Amazon · Seattle, WA
Mid-level Bachelor's
2026-05-06
Requirements
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 2+ years of data scientist experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Bachelor's degree
  • Experience applying theoretical models in an applied environment
Preferred
  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company
  • Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
Responsibilities
  • Translate / Interpret:
  • Partner with cross-functional teams to translate business questions into rigorous causal inference problems
  • Design observational studies and quasi-experiments to measure marketing effectiveness when traditional A/B tests are infeasible
  • Work with data engineering to instrument new data pipelines when existing data cannot answer the causal question
  • Measure / Quantify / Expand:
  • Own and evolve production attribution models across multiple marketing channels
  • Build and maintain causal inference pipelines using methods such as Difference-in-Differences, Synthetic Control, Double Machine Learning, and Media Mix Models
  • Develop scalable PySpark and Python codebases that process large-scale event data
  • Continuously improve model accuracy through feature engineering, heterogeneity analysis, and sensitivity testing
  • Explore / Enlighten:
  • Investigate anomalies in model outputs and deep-dive to identify root causes
  • Develop automated data quality checks and model diagnostics
  • Research and prototype next-generation measurement methods
  • Make Decisions / Recommendations:
  • Present findings to senior leadership with clear recommendations
  • Build dashboards and self-service tools that enable stakeholders to explore results independently
  • Write production-quality Python code for data analysis, model training, and result publishing
View full posting on CareerOneStop → ID: 21012cb296bf
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Olympia, WA
Director Bachelor's
2026-05-06
Requirements
  • Bachelor's degree in data sciences, computer science and 4-6 years of relevant experience
Preferred
  • Demonstrated experience with scripting and implementing data analytics algorithms and models. Hands on experience using a modeling and simulation software (e.g. Python, Matlab, R, NONMEM, SAS, S-Plus, etc.) is a plus.
  • Knowledge/Experience in the usage of machine learning/AI tools in life science area(s) and handling life science datasets is preferred.
  • Excellent interpersonal, technical, and communication skills to lead cross-functional teams.
  • Profound grasp of Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
  • Have implemented machine learning projects from initiation through completion with particular focus on automated deployment and ensuring optimized performance.
  • Agile skills and experience
  • Experience in Healthcare (esp. US) industry is a plus.
  • *Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.
  • *Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.
  • *Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.
  • *Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.
  • *Respectful Collaboration - Seek and value others' perspectives and strive for diverse partnerships to enhance work toward common goals.
  • *Empowered Development - Play an active role in professional development as a business imperative.
  • Minimum $169,222.00 - Maximum $253,000.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate's job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.
Responsibilities
  • The Omnichannel Center of Excellence is dedicated to driving innovation, building, and delivering capabilities that enhance Otsuka's opportunity to make an impact in the lives of those we serve. We achieve this through our relentless focus on customer centricity, patient empathy, expertise in enabling pathways for disease education and awareness of management options, and our unwavering commitment to supporting access to treatment.
  • We are looking for an Omnichannel Data Scientist , Medical Omnichannel with strong expertise in artificial intelligence, encompassing machine learning, data mining, and information retrieval. This position specifically entails the conceptualization, prototyping and development of next generation advanced analytics model-based decision engines and services. The ideal candidate will engage closely with key stakeholders to understand strategic objectives and leverage advanced data analytics and machine learning techniques to enhance communication strategies, ensuring seamless and personalized interactions with healthcare professionals (HCPs) and key opinion leaders (KOLs).
  • *Data Integration & Management
  • Explore and analyze common pharmaceuticals data (e.g., claims) as well as novel data sets based on lab and EHR systems. Work with Omnichannel Data Engineer to Integrate data from multiple sources (e.g., CRM systems, social media, email platforms) to create a unified view of stakeholder interactions.
  • Apply natural language processing (NLP) to extract insights from unstructured medical texts, such as clinical notes or call center transcripts.
  • Identifying relevant data drivers (features) that can inform decision making closely tied with strategy and creating visualizations to help communicate findings.
  • *Advanced Analytics & Modeling
  • Implement advanced analytics models, including predictive analytics and clustering algorithms, to generate actionable insights and track trends across various channels.
  • Work with Omnichannel ML/Ops engineer to build, test, and deploy production-grade predictive models and algorithms as part of the Omnichannel COE decision engine to meet business needs, including optimization of sales activities and predicting drivers of customer behavior.
  • Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products and match the needs of Otsuka's growing portfolio.
  • Collaborate on MLOPS life cycle experience with MLOPS workflows traceability and versioning of datasets. Build and maintain familiarity with Otsuka Machine Learning tech stack including AWS, Kubernetes, Snowflake, and Dataiku
  • *Omnichannel Optimization
  • Design and deploy recommendation systems to tailor communications based on stakeholder preferences and behaviors. Utilize machine learning algorithms (e.g., collaborative filtering, content-based filtering) to enhance personalization efforts.
  • Analyze the performance of omnichannel campaigns (email, SMS, in-app, HCP portals, etc.) to identify high-impact touchpoints and optimize engagement strategies. Use A/B testing and uplift modeling to evaluate the effectiveness of different communication strategies and content types.
  • *Stakeholder Collaboration
  • Effectively communicating analytical approach to address strategic objectives to business partners.
  • Work closely with medical affairs, marketing, and IT teams to ensure alignment and integration of omnichannel strategies. Provide technical guidance and support to cross-functional teams on data-related projects.
  • Stay updated with emerging industrial trends (Conferences and community engagement) and develop strategic industry partnerships on Omnichannel analytics to strengthen Otsuka's analytical methods and outcomes.
  • Model Otsuka's core competencies (Accountability for Results, Strategic Thinking & Problem Solving, Patient & Customer Centricity, Impact Communications, Respectful Collaboration & Empowered Development) that define how we work together at Otsuka. Key matrixed partners included: Brand Marketing, Creative / CRM / Digital agencies, Media, Market Research, Analytics, Otsuka Information Technology (OIT), Sales Operations, and Medical/Regulatory/Legal integrated business partners.
View full posting on CareerOneStop → ID: 78775408b027
Data Scientist, SCOT Forecasting and Labs - CIV Team
Amazon · Bellevue, WA
Mid-level Bachelor's
2026-05-02
Requirements
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of data scientist experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Bachelor's degree
  • Experience applying theoretical models in an applied environment
Preferred
  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company
View full posting on CareerOneStop → ID: fec7b9a678c8
Sr. Machine Learning Compiler Engineer, AWS Neuron, Annapurna Labs
Amazon · Seattle, WA
Senior Bachelor's
2026-05-02
Requirements
  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Experience as a mentor, tech lead or leading an engineering team
Preferred
  • Bachelor's degree in computer science or equivalent
View full posting on CareerOneStop → ID: fd03c0af5ae0
Actuary, Data Science, Global Risk Management &Claims
Amazon · Seattle, WA
Manager Bachelor's
2026-05-01
Requirements
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 2+ years of data scientist experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Bachelor's degree
  • Experience applying theoretical models in an applied environment
Preferred
  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company
Responsibilities
  • ? Collaborate with risk management and claims team to identify insurance gaps, propose solutions, and measure impacts insurance brings to the business
  • ? Develop models for new and existing insurance programs utilizing actuarial and data science techniques in innovative ways
  • ? Build forecasts and analyses for businesses under rapid growth, including trend studies, loss distribution analysis, ILF development, and industry benchmarks
  • ? Create processes to monitor loss cost and trends
  • ? Propose and implement loss prevention initiatives with impact on insurance costs in mind
  • ? Advise underwriting decisions with analysis on exposure risk profile
  • ? Support insurance cost budgeting activities
  • ? Collaborate with external vendors and other internal science teams to extract insurance insight
  • ? Conduct other ad hoc analyses and risk modeling as needed
View full posting on CareerOneStop → ID: ea009793ed95
Principal Product Mgr Tech, Measurement Ad Tech Data Science (MADS)
Amazon · Seattle, WA
Senior Bachelor's
2026-05-01
Requirements
  • 2+ years of end to end product delivery experience
  • 8+ years of technical product or program management experience
  • Bachelor's degree
  • Experience with feature delivery and tradeoffs of a product
  • Experience owning/driving roadmap strategy and definition
  • Experience leading engineering discussions around technology decisions and strategy related to a product
  • Experience technical product management
Preferred
  • Experience working directly with Engineers on product enhancements
  • Experience in project management methodologies, business analysis, or process improvement
View full posting on CareerOneStop → ID: 49c1e394e701
Senior Machine Learning Engineer, Search & Knowledge Platforms
Apple · Seattle, WA
Senior Bachelor's
2026-04-30
Requirements
  • Bachelor's in Computer Science, Machine Learning, or a related field
  • 7+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
  • Strong programming skills in C/C++ or Python, and experience with ML frameworks
  • Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval
  • Excellent communication and collaboration skills
Preferred
  • Advance degree in Computer Science, Machine Learning, or a related field
  • 5 years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems
  • Familiarity with NLP/ML tools and packages like Jax, TensorFlow, pyTorch, etc.
  • Experience working with transformer-based models (e.g., BERT, T5) in a search context
  • Prior industry experience on large scale search systems
  • Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems
Responsibilities
  • Are you passionate about search technologies and building knowledge experiences? The Answers, Knowledge, and Information team is at the forefront of revolutionizing how hundreds of millions of people use their devices to obtain information. We are a world-class team of machine learning engineers who collaborate closely with product, data science, and infrastructure teams to power and enhance features across Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of the most dynamic high-performance computing environments, managing petabytes of data and millions of queries per second. As a Senior Machine Learning Engineer, you play a critical role in developing world-class search and Q&A experiences for Apple customers using cutting-edge search technologies and large language models.
  • As a member of our dynamic team, you will have the unique and rewarding opportunity to contribute to the development of upcoming products from Apple. Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products, including Siri, Safari, Spotlight, and more. Therefore, we are seeking candidates with a deep understanding of large-scale search technology, machine learning fundamentals, applied machine learning experience, and strong software engineering skills. As Senior Machine Learning Engineer for the Search and Knowledge Quality team, you will be responsible for developing the ranking and retrieval technologies that power question answering and search across Apple products. In this role, you will collaborate with world-renowned experts in large-scale data management, machine learning systems, and knowledge extraction, driving advancements in question answering and search, as well as the underlying ranking and retrieval technologies. This is your opportunity to shape how people obtain information by leveraging your Search and applied machine learning expertise, along with robust software engineering skills.
View full posting on CareerOneStop → ID: 574995d5efb4
Data Scientist I, Demand Forecasting
Amazon · Bellevue, WA
Entry-level Bachelor's
2026-04-28
Requirements
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
  • Bachelor's degree
  • Familiarity with large language models (LLMs) or generative AI applications in analytics or explainability
Preferred
  • Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
  • Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
  • Experience communicating complex ideas to technical and non-technical audiences
  • Experience with time series forecasting, demand modeling, or bias correction techniques
Responsibilities
  • Design and analyze experiments (A/B tests) to measure the impact of forecast model changes and SCOT initiatives, drawing causal inferences from both experimental and observational data
  • Develop bias correction models to improve forecast accuracy across Amazon's demand forecasting systems, including National, Regional, Grocery, SSD, Inbound, and CIV forecasts
  • Contribute to GenAI/LLM-based research for forecast explainability and interpretability, helping stakeholders understand what drives forecast signals
  • Support and enhance the Labs experimentation platform by building scalable inference and measurement solutions that quantify the impact of forecasting improvements
  • Work horizontally across the forecasting product portfolio and collaborate with product managers, applied scientists, and engineering teams to embed analytics and ML solutions where they create the most value
  • Use large datasets to build models addressing ambiguous forecasting questions, including demand prediction, out of stock, seasonality, and varying lead times and spans
  • Interpret data, write reports, and communicate measurement results to stakeholders by translating technical frameworks into business-oriented insights and actionable recommendations
  • Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. The candidate will need to be able to extract insights from data and clearly communicate appropriate triggers and actions
  • Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
  • The benefits that generally apply to regular, full-time employees include:
  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
  • At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
View full posting on CareerOneStop → ID: a95faa4943e6
Machine Learning Tools Engineer, SIML
Apple · Seattle, WA
Mid-level Bachelor's
2026-04-28
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related technical field; or equivalent practical experience.
  • 3+ years of experience in software development with strong Python proficiency.
  • Familiarity with machine learning fundamentals and frameworks (e.g., PyTorch, TensorFlow, JAX).
  • Experience with Linux systems, containers (Docker), and version control (Git).
  • Strong debugging, analytical, and problem-solving skills.
  • Comfortable operating at the intersection of research and product, coordinating across teams with competing timelines and technical constraints.
Preferred
  • Prior experience in an ML platform, infrastructure, or productivity tools team.
  • Experience building internal SDKs, CLIs, or automation frameworks for ML or data workflows.
  • Exposure to distributed training, experiment tracking, or model serving infrastructure.
  • Experience supporting large internal or external developer communities.
Responsibilities
  • Are you passionate about Generative AI? Are you interested in working on groundbreaking generative modeling technologies to enrich billions of people? We are the Intelligence System Experience (ISE) team within Apple's software organization. The team operates at the intersection of multimodal machine learning and system experiences. Our multidisciplinary ML teams focus on a broad spectrum of areas, including Visual Generative Foundation Models, Multimodal Understanding, Visual Understanding of People, Text, Handwriting, and Scenes, Personalization, Knowledge Extraction, Conversation Analysis, Behavioral Modeling for Proactive Suggestions, and Privacy-Preserving Learning. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day.
  • We are looking for a Machine Learning Tools Engineer to help build and evolve the infrastructure, tools, and libraries that power model development and deployment across our organization. The ideal candidate combines strong software engineering fundamentals with ML domain understanding and a deep passion for improving developer experience. You'll partner closely with researchers, ML engineers, and infra teams to design tools that make training, experimentation, evaluation and inference seamless and efficient. This role is hands-on, user-focused, and requires a balance of building scalable systems and operationally supporting a large and growing user base.
  • As a Machine Learning Tools Engineer, you will:
  • Design, develop, and maintain core ML infrastructure components (training pipelines, experiment tracking, deployment tooling, and monitoring systems).
  • Collaborate with ML practitioners to identify pain points and translate them into productized solutions that enhance productivity and reliability.
  • Build and maintain Python-based SDKs, CLIs, and APIs that simplify how ML engineers interact with compute, data, and models.
  • Ensure tools are robust, performant, and user-friendly, with strong observability and documentation.
  • Partner with infrastructure, MLOps, and platform teams to ensure end-to-end system integration and smooth scaling.
  • This is a highly collaborative role that requires curiosity, empathy for users, and a drive to make ML development frictionless.
View full posting on CareerOneStop → ID: 226b9e03ca70
Senior Data Scientist
The Boeing Company · Seattle, WA
Senior Bachelor's
2026-04-28
Requirements
  • Ability to obtain a US Security Clearance for which the US Government requires US Citizenship
  • Bachelor's degree or highe
  • 5+ years of experience with AI/ML technologies, frameworks, models and ensembles
  • 5+ years with container and container orchestration (Docker and Kubernetes)
  • 5+ years of experience with data engineering and data pipelines for On-Prem cloud, hybrid data models and data warehouses
  • 5+ years of experience with software programming/scripting (such as Python, Unix/Linux type batch scripting, FORTRAN, C / C++)
  • This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required.
  • "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
  • *Export Control Details:
  • US based job, US Person required
Preferred
  • 5+ years of experience in the manufacturing or aviation domain
  • 5+ years of experience with big data technologies and data engineering practices
  • Experience in multi-cloud and hybrid AI architecture
  • Experience with generative AI, NLP, computer vision, or reinforcement learning
  • Experience with CI/CD pipelines, DevOps practices and containerized deployments
  • Experience with open-source ML projects or publications in relevant fields
Responsibilities
  • At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
  • The Boeing Company is currently seeking a Senior Data Scientist to join the Boeing Test & Evaluation (BT&E) Business Operations team in Berkeley, MO or Seattle, WA .
  • The candidate will lead cross-functional teams to define, build, validate, and deploy advanced predictive and prescriptive analytics solutions that drive measurable business outcomes. This senior individual contributor / technical leader will evaluate business objectives, translate stakeholder needs into analytic requirements, choose appropriate methods and algorithms, perform data preparation and feature engineering, and operationalize models into production systems. The role requires strong domain/business acumen, excellent communication and leadership skills, hands-on modeling experience, and proven success deploying production-grade analytics.
  • Define the strategy to build highly reliable and scalable ML and AI solutions that align with the organization's business goals and objectives
  • Lead the creation and implementation of scalable, robust, and high-performance ML architectures including MLOps, AIOps leveraging cloud native services (AWS, Azure, GCP) and open-source frameworks
  • Design, build, and optimize machine learning models, ensuring accuracy, efficiency, and scalability
  • Partner with product managers, engineers, and business stakeholders to define problem statements, success metrics, and deployment requirements
  • Collaborate with data engineers, data architect, software developers, and DevOps teams to integrate ML models into production systems
  • Assess and recommend ML tools, frameworks, and platforms to deliver business value and foster innovation
  • Monitor and optimize ML models and systems for latency, throughput, and cost-efficiency in production
  • Ensure ML systems adhere to ethical guidelines, data privacy regulations, and industry standards
  • Design and development of Generative AI and AI use cases (LLMs, RAG, Agentic, multi model AI, fine tuning. Vector databases and prompt engineering)
  • Lead organizational change for the adoption of new platforms, machine learning tools and analytics workflows
  • Own all communication and collaboration channels pertaining to strategy and assigned projects, including regular stakeholder, senior leadership, and cross-team updates
View full posting on CareerOneStop → ID: 2ec6a541e9db
Senior Data Scientist - 3031819
Apex Systems, Inc. · Redmond, WA
Senior Bachelor's
2026-04-25
Requirements
  • Bachelor's degree in a technical field such as computer science, computer engineering or related field required
  • 8-10 years applicable experience required
  • Experience with database technologies
  • Knowledge of the ETL process
  • Knowledge of at least one scripting language
  • Strong written and oral communication skills
  • Strong troubleshooting and problem solving skills
  • Demonstrated history of success
  • Desire to be working with data and helping businesses make better data driven decisions
Responsibilities
  • This is a Marketing Data Science role. Marketing analytics experience required.
  • Measure what actually drives Minecraft player acquisition, reactivation, and long-term value across marketing channels. This role will own campaign post-mortems, attribution modeling, and marketing funnel analysis --- connecting upstream spend and impressions to downstream engagement and monetization outcomes. You will partner with Growth Marketing and Finance to inform budget decisions and build the measurement frameworks that scale Minecraft's marketing effectiveness. The ideal candidate blends analytical rigor with marketing intuition and can translate complex attribution results into clear recommendations for non-technical stakeholders.
  • Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies
  • Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions
  • Design, implement, automate and maintain large scale enterprise data ETL processes
  • Modify existing databases and database management systems and/or direct programmers and analysts to make changes
  • Test programs or databases, correct errors and make necessary modifications
View full posting on CareerOneStop → ID: 7fa0fd0c44ec
Senior Data Scientist - 3031820
Apex Systems, Inc. · Redmond, WA
Senior Bachelor's
2026-04-25
Requirements
  • Bachelor's degree in a technical field such as computer science, computer engineering or related field required
  • 8-10 years applicable experience required
  • Experience with database technologies
  • Knowledge of the ETL process
  • Knowledge of at least one scripting language
  • Strong written and oral communication skills
  • Strong troubleshooting and problem solving skills
  • Demonstrated history of success
  • Desire to be working with data and helping businesses make better data driven decisions
Responsibilities
  • Apex is looking for a Data Scientist for a hybrid position 3 days a week in Redmond, WA. This is a chance to work directly with Minecraft Marketplace and Minecraft Realms teams on improving content plans, monetization strategies, recommendation, and discovery. This role is analytics heavy.
  • Key projects: This role will contribute to digital monetization, downloadable content, and expanding user generated content offerings. They will support expanding the Marketplace to better compete in the user-generated content space, making this an especially interesting role for candidates familiar with platform s like Roblox or Fortnite.
  • *Ideal Background for Candidate
  • Strong in business analytics and data science focused on post sale monetization of digital experiences.
  • The ideal resume would contain experience in digital subscription based or streaming services (e.g., Netflix, Spotify)
  • This is a Minecraft Monetization data scientist role.
  • Apply advanced analytics, experimentation, and predictive modeling to optimize monetization across Minecraft's three revenue pillars: Realms subscriptions, Marketplace content sales, and Creator on Demand. This role will build LTV models, analyze cross-product spend behavior, design and read out A/B tests on pricing and UX changes, and surface insights that drive revenue growth while protecting player experience. The ideal candidate has strong statistical foundations, fluency in Python and SQL on Databricks, and experience modeling user spending behavior in games or subscription products.
  • Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies
  • Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions
  • Design, implement, automate and maintain large scale enterprise data ETL processes
  • Modify existing databases and database management systems and/or direct programmers and analysts to make changes
  • Test programs or databases, correct errors and make necessary modifications
View full posting on CareerOneStop → ID: 0c5b3752de46
Software Dev Engineer, EC2 Nitro, EC2 Nitro Machine Learning Systems
Amazon · Seattle, WA
Mid-level Bachelor's
2026-04-25
Requirements
  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded software applications, tools, systems, and services using: C, C++, Rust in Linux environment
  • 1+ years of embedded software development experience
Preferred
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent
View full posting on CareerOneStop → ID: 2e08760626ec
Principal Product Manager, Data Science & Market Research
Microsoft Corporation · Redmond, WA
Manager Bachelor's
2026-04-23
Requirements
  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience..
  • *Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Preferred
  • 8 years of experience in product management, data science, market research, or strategic analytics, preferably in a platform or developer-focused organization.
  • Solid quantitative skills with demonstrated ability to design research, analyze large datasets, and extract actionable insights.
  • Ability to translate data and research findings into product strategy and executive-ready recommendations.
  • Strong communication skills with the ability to present complex analysis clearly to technical and non-technical audiences.
  • Experience working cross-functionally with engineering, product, and business teams.
  • Experience with developer platforms, developer tools, or application frameworks.
  • Familiarity with telemetry systems, experimentation frameworks, or BI/analytics platforms (e.g., Power BI, Kusto, Azure Data Explorer).
  • Background in competitive intelligence, market sizing, or ecosystem analysis for technology platforms.
  • Understanding of the Windows developer ecosystem, including Win32, .NET, WinUI, and cross-platform frameworks.
  • Experience with data visualization and building executive dashboards that drive organizational alignment.
  • Product Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
  • Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Responsibilities
  • Define and own the data science and market research strategy for the Windows Platform & Developer organization, aligning research priorities to business and product goals.
  • Build and maintain analytical frameworks that track platform health, developer adoption, ecosystem growth, and competitive positioning across Windows, macOS, Linux, and web/cross-platform alternatives.
  • Deliver actionable market intelligence on developer trends, framework adoption and enterprise modernization patterns.
  • Partner with engineering, product, and leadership teams to define KPIs, instrument telemetry, and build dashboards that drive data-informed decision-making.
  • Lead primary and secondary research-developer surveys, competitive analysis, win/loss studies, and ecosystem assessments-to surface opportunities and risks.
  • Translate complex data into clear, compelling narratives for senior leadership to support investment decisions, roadmap prioritization, and executive reviews.
  • Engage with developer communities, enterprise customers, ISV partners, and internal stakeholders to validate hypotheses and ground insights in real-world signals.
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