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Data Scientists

15-2051.00 Bright Outlook $158K
23
postings
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
Data Scientist I, PXT Central Science
Amazon · Bellevue, WA
Entry-level Doctorate
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
  • 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
  • Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Preferred
  • Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
  • Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
  • Knowledge of machine learning concepts and their application to reasoning and problem-solving
  • Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
  • Experience working with or evaluating AI systems
  • Experience applying quantitative analysis to solve business problems and making data-driven business decisions
  • Experience effectively communicating complex concepts through written and verbal communication
Responsibilities
  • Own the design, development, and maintenance of scalable models and prototypes leveraging statistical, machine learning, or GenAI methodologies to enhance employee experience.
  • Partner with scientists, engineers, and product leaders to solve for employee experience defects using scientific approaches, building new services and tools that deliverable measurable impact.
  • Author and maintain detailed technical documentation related to the projects you drive.
  • Communicate results to diverse audiences of varying technical background with effective writing, visualizations, and presentations
  • Stay current with emerging methods and technologies, and implement them strategically to amplify the team's impact.
View full posting on CareerOneStop → ID: 4295c5f82a8c
Data Scientist I, PXT Central Science
Amazon · Seattle, WA
Entry-level Doctorate
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
  • 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
  • Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Preferred
  • Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
  • Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
  • Knowledge of machine learning concepts and their application to reasoning and problem-solving
  • Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
  • Experience working with or evaluating AI systems
  • Experience applying quantitative analysis to solve business problems and making data-driven business decisions
  • Experience effectively communicating complex concepts through written and verbal communication
Responsibilities
  • Own the design, development, and maintenance of scalable models and prototypes leveraging statistical, machine learning, or GenAI methodologies to enhance employee experience.
  • Partner with scientists, engineers, and product leaders to solve for employee experience defects using scientific approaches, building new services and tools that deliverable measurable impact.
  • Author and maintain detailed technical documentation related to the projects you drive.
  • Communicate results to diverse audiences of varying technical background with effective writing, visualizations, and presentations
  • Stay current with emerging methods and technologies, and implement them strategically to amplify the team's impact.
View full posting on CareerOneStop → ID: 96c7b1b6f413
Associate AI/ML Engineer
Raft LLC · Tacoma, WA
Entry-level Doctorate
2026-05-28
Requirements
  • 1+ years of relevant hands-on experience, or a PhD in a related field with demonstrated practical application
  • Practical experience in Machine Learning models and Software Engineering
  • A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams
  • Experience building and maintaining machine learning platforms and pipelines
  • Experience in building machine learning models, and
  • Experience in using data processing frameworks (Apache Spark preferred)
  • Practical programming and scripting skills (Python preferred)
  • Fast learner, analytical thinker, creative, hands-on, strong communication skills
  • Able to work both independently and as part of a team
  • Excellent problem-solving skills and attention to detail.
  • Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps
  • Obtain Security+ within the first 90 days of employment with Raft
  • Ability to obtaina Top Secret clearance with potential for SCI
Preferred
  • Publications or GitHub repos showcasing your skills
Education
  • Annual budget for your tech/gadgets needs
  • Generous Referral Bonuses
Responsibilities
  • *AI/ML Engineer,
  • you will collaborate with a cross-functional data team comprising of DevSecOps engineers, Product Owners, Data Engineers and Data Scientists. Your primary responsibility will be to develop machine learning models that are integral to a larger pipeline delivering value to our end customers.
View full posting on CareerOneStop → ID: 846be6e0254d
AI/ML Engineer - Associate Consultant
Slalom LLC · Seattle, WA
Entry-level
2026-05-18
Responsibilities
  • AI/ML Engineer - Associate Consultant
  • Who You'll Work With
  • As a modern technology company, Slalom's technologists bring the art of the possible to life for our clients. Our Data + AI capability focuses on delivering next-generation AI and Machine Learning solutions that solve complex business challenges. You'll join a diverse team of engineers, data scientists, and AI thought leaders, working across modern AI platforms and partnering with leading technology providers.
  • In this role, you will also collaborate closely with business stakeholders and transformation leaders to drive adoption of Generative AI solutions, helping clients translate AI capabilities into real-world impact through coaching, enablement, and change management.
  • AI/ML Solution Development (Core - ~70%)
  • Apply Machine Learning, Generative AI, and LLM-based techniques to solve real business problems.
  • Design, develop, and support delivery of AI/ML solutions (e.g., NLP, recommendation systems, agentic workflows).
  • Build and deploy AI solutions leveraging modern cloud platforms (AWS, Azure, GCP).
  • Implement best practices in MLOps / LLMOps, model validation, and production deployment.
  • Contribute to solution architecture discussions and technical delivery across client engagements.
  • Stay current on emerging AI/ML trends and contribute to Slalom's AI community through knowledge sharing.
  • AI Coaching & Adoption (Differentiator - ~30%)
  • Coach client teams on effective and responsible use of Generative AI tools (e.g., ChatGPT, copilots, custom AI solutions).
  • Deliver enablement sessions and workshops to drive AI literacy and adoption.
  • Partner with business stakeholders to identify high-value AI use cases and translate them into technical solutions.
  • Support organizational change efforts tied to AI adoption, including workflow redesign and user enablement.
  • Develop reusable assets, playbooks, and
View full posting on CareerOneStop → ID: da0d24af5d5e
Associate Data Scientist
Capgemini · Seattle, WA
Entry-level
2026-05-16
Requirements
  • Design, develop, and deploy AI enabled applications aligned to enterprise needs.
  • Translate business problems into scalable technical solutions.
  • Build Generative AI solutions using large language models, including RAG and tool enabled workflows.
  • Apply AI assisted code generation and developer productivity tools for tasks such as code scaffolding, refactoring, documentation, and test generation.
  • Design and integrate application components using REST APIs, authentication, error handling, and observability best practices.
  • Deploy and operate AI solutions in production or production adjacent environments, supporting monitoring and reliability.
  • The base compensation range for this role in the posted location is $70,000 - $110,000
  • Contract Type: Permanent
  • Seattle, WA, US
  • Brand: Capgemini
  • Professional Community: Data & AI
Responsibilities
  • Capgemini is building a Seattle-based AI Cohort to support strategic enterprise engagements focused on Generative AI, intelligent applications, and advanced analytics. This role combines hands-on AI engineering with a delivery and consulting oriented mindset. You will work closely with business and technical stakeholders to shape, build, and scale AI solutions from early exploration through production delivery. Some engagements may follow a Forward Deployment Engineer (FDE)-style working model, where engineers collaborate closely with client teams during solution design and rollout. However, the role remains broad and well suited for candidates who enjoy combining strong technical problem solving with collaborative, client facing delivery. Many initiatives are centered on enterprise cloud and AI platforms, with a strong preference for Azure based architectures and services, as well as modern developer environments that incorporate AI assisted development and code generation tools.
View full posting on CareerOneStop → ID: 27df4a92a606
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
Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad PhD)
Unity Technologies · Bellevue, WA
Entry-level Doctorate
2026-05-09
Requirements
  • PhD in Computer Science, Machine Learning, Systems, or a related field
  • Strong foundation in machine learning systems, distributed systems, or large-scale data processing (through research or projects)
  • Experience with Python and working with data-intensive workloads
  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark)
  • Experience (academic or applied) with data pipelines, model training workflows, or large datasets
  • Strong problem-solving skills and ability to translate research ideas into practical systems
  • Interest in building scalable, reliable infrastructure for machine learning
  • Experience with workflow orchestration systems (Airflow, Flyte, etc.)
  • Exposure to large-scale data platforms (data lakes, warehouses, streaming systems)
  • Publications or research in ML systems, distributed systems, or related areas
  • *Additional information
  • Relocation support is not available for this position
  • Work visa/immigration sponsorship is not available for this position
Responsibilities
  • *The opportunity
  • Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company.
  • Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform enables large-scale model training, feature generation, and experimentation workflows that power production ML systems.
  • We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent PhD graduate who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems.
  • You'll help build and evolve the infrastructure that powers training data generation, ML workflows, and distributed model training. Working closely with experienced engineers and researchers, you'll contribute to systems that ensure our ML pipelines are reliable, scalable, and efficient.
  • This role offers the opportunity to bridge research and production-translating advanced ideas into systems that operate at scale.
  • Build and maintain data pipelines that generate training datasets for machine learning models and experimentation
  • Contribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray)
  • Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines
  • Improve reproducibility and reliability through dataset validation, monitoring, and testing
  • Partner with ML engineers to support experimentation and model iteration
  • Help optimize performance and efficiency across data processing and training systems
  • Contribute to the evolution of our offline ML platform architecture as it scales
View full posting on CareerOneStop → ID: 84abcebe5f20
Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad PhD)
Unity Technologies · San Francisco, CA
Entry-level
2026-05-09
View full posting on CareerOneStop → ID: 3fe4cc1bcfd4
Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad PhD)
Unity Technologies · Mountain View, CA
Entry-level
2026-05-09
View full posting on CareerOneStop → ID: df268a01a178
Associate AI/ML Engineer - AI Program
Mayo Clinic · Rochester, MN
Entry-level
2026-05-09
View full posting on CareerOneStop → ID: 1fc9000dcf7c
Associate Data Science Analyst - AI Program
Mayo Clinic · Rochester, MN
Entry-level
2026-05-09
View full posting on CareerOneStop → ID: 68ce77fb824f
Data Scientist I - AI/ML
COTIVITI, INC. · South Jordan, UT
Entry-level
2026-05-08
View full posting on CareerOneStop → ID: faf02744f67e
Associate Data Scientist
Carnival Cruise Line · Seattle, WA
Entry-level Master's
2026-05-01
Requirements
  • Bachelor's or Master's degree in Mathematics, Statistics, Operations Research, Data Science, or a related numeric discipline.
  • Experience (internship or 0-2 years) in a data science, analytics, or quantitative modeling role (travel or revenue management industry experience a plus).
  • Technical proficiency in Python or R, and SQL/relational databases.
  • Familiarity with forecasting, optimization, and statistical modeling techniques.
  • Strong communication and interpersonal skills, with the ability to explain complex concepts to non-technical audiences.
  • Professionalism, reliability, and a collaborative approach to teamwork
  • At least 2 years experience in a data scientist role, preferably within the travel industry
  • Experience within Revenue Management
  • Experience in Systems development a plus, with technical expertise in R or Python, and SQL / relational databases
  • Travel: No or very little travel likely
  • Work Conditions: Work primarily in a climate-controlled environment with minimal safety/health hazard potential.
  • Physical Demands: Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.
  • This position is classified as "in-office." As an in-office role, it requires employees to work from Holland America's office in Seattle Monday through Thursday each week.
  • *What You Can Expect
  • Cruise and Travel Privileges for You and Your Family
  • Health Benefits
  • Employee Stock Purchase Plan
  • Training & Professional Development
  • Tuition & Professional Certification Reimbursement
  • Base Hourly Range: $28.46 to $38.41. The range is applicable for the labor market where the role is intended to be hired. Final base salary is directly related to each candidate's qualifications and experience uniquely.
Responsibilities
  • Holland America Line has been exploring the world since 1873. Our ships offer innovative features and enriching experiences focused on destination exploration and personalized travel, inviting guests to savor the journey.
  • The Associate Data Scientist will play a hands-on role in supporting the ongoing development, enhancement, and adoption of YODA-the proprietary yield optimization and demand analytics platform built and owned by the data science teams across Carnival Corporation. You will work closely with the Revenue Management (RM) teams across Holland America Line and Seabourn, ensuring YODA's models and analytics are accurate, accessible, and actionable for end users. Your work will help RM teams make better, data-driven decisions and maximize net revenue and profitability.
  • Here's a summary of what Holland America Line is looking for. Is this you?
  • Serve as a primary point of contact for RM teams, providing day-to-day support, troubleshooting, and guidance on YODA's features and outputs.
  • Scope and Develop models as appropriate to support day-to-day pricing and inventory decisions and operations. Help interpret model outputs and analytics for non-technical stakeholders, supporting improved price and inventory decisions.
  • Gather feedback from end users, translate business questions into analytical tasks, and ensure YODA's tools are well understood and effectively adopted.
  • Assist in building, validating, and updating forecasting and optimization models within YODA, including price elasticity, booking materialization, cancellation/retention, constraining, and segmentation models. Communicate model updates and implications clearly to RM teams, ensuring transparency and trust in the analytics.
  • Work closely with the Revenue Science Manager, BI, and ML Ops teams to feed advanced analytics into YODA and associated reporting/alerting systems.
  • Recommend and help implement enhancements to YODA's toolset and functionality based on user feedback and business needs.
  • Own YODA release testing for the brands, ensuring all models and changes applied work for the RM teams.
  • Maintain clear, user-friendly documentation and training materials for YODA.
  • Support the onboarding and upskilling of RM team members, helping them build confidence and proficiency in using advanced analytics tools.
  • *Knowledge & Skills:
  • Scope: Supports the ongoing development, enhancement, and user adoption of the YODA revenue management analytics platform, working directly with Revenue Management teams across Holland America Line and Seabourn to ensure all models and tools are accurate, accessible, and actionable.
  • Problem solving: Translates business questions and operational challenges from RM teams into analytical tasks, troubleshooting model outputs, and adapting forecasting and optimization approaches to meet evolving commercial needs.
  • Impact: Enables data-driven, timely, and profitable pricing and inventory decisions by ensuring YODA delivers reliable forecasts and insights, directly supporting the commercial success of both brands. The Junior Data Scientist will materially improve the accuracy and adoption levels of YODA and work with the Revenue Science Manager to ensure YODA continues to develop to meet the evolving needs of the brands
  • Leadership: Demonstrates initiative by proactively engaging with end users, sharing knowledge, and helping to build analytical capability within the RM teams through clear communication, training, and collaborative problem solving.
View full posting on CareerOneStop → ID: 65a484c016ed
Data Scientist I, II
University of Utah · Salt Lake City, UT
Entry-level
2026-04-30
View full posting on CareerOneStop → ID: f336e25850af
Data Scientist I, II
University of Utah · Salt Lake City, UT
Entry-level
2026-04-29
View full posting on CareerOneStop → ID: a4a9591120cc
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
Early Career Artificial Intelligence (AI) Data Science
Sandia National Laboratories · Albuquerque, NM
Entry-level
2026-04-28
View full posting on CareerOneStop → ID: 04ead090e9d5
Data Scientist I, Customer Delivery Excellence Science
Amazon · Bellevue, WA
Entry-level
2026-04-15
View full posting on CareerOneStop → ID: d79a1f5daed0
Data-driven and Machine Learning Postdoctoral Research Associate
Los Alamos National Laboratory · Los Alamos, NM
Entry-level
2026-01-28
View full posting on CareerOneStop → ID: a7853d6c51a3
Data Scientist I
Battelle Memorial Institute · Cannon AFB, NM
Entry-level
2025-12-30
View full posting on CareerOneStop → ID: 0666cded6135
Human Performance Data Scientist I
General Dynamics Information Technology · Mcchord Afb, WA
Entry-level
2025-12-03
View full posting on CareerOneStop → ID: 960ffd4a45dd
Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start
Google · Kirkland, WA
Entry-level
2025-10-01
View full posting on CareerOneStop → ID: 8e1a2b92df08
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