Job Matches
Washington job postings for occupations your coursework prepares you for. Sorted by how many of the occupation's tasks your courses cover.
Demo profile: Math BS with Data Science minor. Sign in (GitHub) to rank these jobs against your own courses, projects, internships, and work experience — each added signal sharpens the qualification match.
50 Washington postings
across 3 occupations the EWU Math BS prepares you for
· ranked by how many tasks your 16 declared courses cover.
Showing CareerOneStop postings from the last 30 days; the scraper re-syncs from CareerOneStop nightly. Last posting in this list dated 2026-06-06.
Scraper last re-confirmed a WA posting 2026-06-06 02:56 (113 touched today).
Showing CareerOneStop postings from the last 30 days; the scraper re-syncs from CareerOneStop nightly. Last posting in this list dated 2026-06-06.
Scraper last re-confirmed a WA posting 2026-06-06 02:56 (113 touched today).
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12/12
tasks
Instructor Pool - 2025/2026 and Fall Term 2026: Mathematics
Oregon State University
Corvallis, OR
2026-05-12
Tasks you're prepared for
(12 of 12 for Mathematicians)
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
+7 more covered tasks
18/19
tasks
Senior Director, Biostatistics
Otsuka America Pharmaceutical Inc.
Salem, OR
2026-06-04
Job Summary The Senior Director, Biostatistics, provides leadership, oversight, and technical/scientific direction across multiple therapeutic areas. This role leads and develops a high-performing biostatistics team that delivers both strong scientific engagement and operational excellence thr
Requirements
- PhD in Statistics or Biostatistics with 12+ years of progressive experience in the pharmaceutical or biotechnology industry, including extensive involvement in clinical research and late-stage development programs
- Minimum of 5 years of demonstrated people leadership experience, including responsibility for hiring, developing, mentoring, and performance management of biostatistics professionals
- Deep and end-to-end understanding of the clinical development process, from study design and development planning through regulatory submission (e.g., NDA/BLA) and post-submission activities
- Strong working knowledge of global regulatory and industry best practices, including protocol and SAP development, statistical interpretation, and health authority expectations
What you'd do
- The Senior Director, Biostatistics, provides leadership, oversight, and technical/scientific direction across multiple therapeutic areas. This role leads and develops a high-performing biostatistics t… The Senior Director, Biostatistics, provides leadership, oversight, and technical/scientific direction across multiple therapeutic areas. This role leads and develops a high-performing biostatistics team that delivers both strong scientific engagement and operational excellence throughout the clinical development lifecycle. Core responsibilities include trial design and development planning, statistical analysis strategy, modeling and simulation, regulatory submission support, advisory committee preparation, and scientific presentations.
- The Senior Director, Biostatistics plans, directs, and oversees the design, preparation, and execution of the biostatistical strategy supporting research and development, ensuring the appropriate appl… The Senior Director, Biostatistics plans, directs, and oversees the design, preparation, and execution of the biostatistical strategy supporting research and development, ensuring the appropriate application of sound statistical theory and methodologies across designated therapeutic areas. In support of Clinical Development strategy, this role provides scientific review and oversight of key development materials, including but not limited to clinical protocols, statistical analysis plans, health authority submission documents, and publication materials. External scientific engagement is a core accountability of the role, including leadership of and participation in health authority interactions.
- Operational excellence is demonstrated through the effective and efficient delivery of the Clinical Development portfolio, including resource planning, prioritization, timeline management, and functional outsourcing.
- The Senior Director serves as a senior statistical subject-matter expert and knowledge resource to cross-functional project teams and acts as a point of escalation and resolution for biostatistical is… The Senior Director serves as a senior statistical subject-matter expert and knowledge resource to cross-functional project teams and acts as a point of escalation and resolution for biostatistical issues across relevant therapeutic areas.
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Biostatistician, HEOR Consulting Services
Norstella
Salem, OR
2026-05-21
Biostatistician, HEOR Consulting Services Company: Norstella Location: Remote, United States Date Posted: May 20, 2026 Employment Type: Full Time Job ID: R-1976 Description About Norstella Norstella is a premier and critical global life sciences data and AI solutions platfor
Requirements
- Advanced degree (MS or PhD) in Biostatistics, Statistics, or a related quantitative field.
- At least 3 years of professional experience as a biostatistician/statistician using real-world data or clinical trial data in the pharmaceutical, biopharmaceutical, medical device, or CRO/consulting environment.
- Strong proficiency in statistical programming using R (technical proficiency will be tested). Additional proficiency in SQL or Python is valued.
- Ability and willingness to train and work within the Panalgo IHD analytics platform.
What you'd do
- Norstella's HEOR Services team is seeking an experienced biostatistician to develop statistical analysis plans and perform advanced statistical analysis on non-interventional observational research st… Norstella's HEOR Services team is seeking an experienced biostatistician to develop statistical analysis plans and perform advanced statistical analysis on non-interventional observational research studies using real world data. This role will advise internal and external clients on recommended statistical approaches to support study research objectives, and will be directly responsible for documentation, implementation, and interpretation of statistical analysis plans. The ideal candidate brings deep expertise with realworld data, strong R programming skills, and a track record of applying advanced statistical methods to support regulatory, epidemiology, HEOR, and RWE use cases.
- Support senior HEOR leaders with non-interventional observational research study design, advanced statistical analysis, and interpretation using NorstellaLinQ Realworld Data to support regulatory, epi… Support senior HEOR leaders with non-interventional observational research study design, advanced statistical analysis, and interpretation using NorstellaLinQ Realworld Data to support regulatory, epidemiology, HEOR, and RWE use cases.
- During study design phase, recommend appropriate statistical methods to address study research objectives (e.g., power calculations, methods to mitigate selection bias, development of matched cohorts,… During study design phase, recommend appropriate statistical methods to address study research objectives (e.g., power calculations, methods to mitigate selection bias, development of matched cohorts, development of measures from multiple sources [e.g., EMR + claims], analysis of NLP-derived measures from unstructured EMR, approach for outcomes that require time-to-event analysis with competing risk, multivariable modeling, repeated measures, time-averaged clinical measures, causal inference, and techniques for analyzing rare and ultra rare populations including Bayesian statistics).
- Write statistical analysis plans to address the above considerations.
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Biostatistician - Academic Research
Sanford Health
Sioux Falls, SD
2026-05-06
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Associate Director, Biostatistics and Statistical Programming
Xeris Pharmaceuticals, Inc.
Montgomery, AL
2026-04-11
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Associate Director, Biostatistics and Statistical Programming
Xeris Pharmaceuticals, Inc.
Pierre, SD
2026-04-11
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Associate Director, Biostatistics and Statistical Programming
Xeris Pharmaceuticals, Inc.
Carson City, NV
2026-04-11
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Associate Director, Biostatistics and Statistical Programming
Xeris Pharmaceuticals, Inc.
Salem, OR
2026-04-11
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Head of Scientific Analytics-Biostatistics/Real World Data
Oracle
Salem, OR
2026-02-26
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Head of Scientific Analytics-Biostatistics/Real World Data
Oracle
Pierre, SD
2026-02-26
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Associate Director, Biostatistics
Otsuka America Pharmaceutical Inc.
Salem, OR
2025-11-20
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Associate Director, Biostatistics
Otsuka America Pharmaceutical Inc.
Pierre, SD
2025-11-20
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Principal Machine Learning Engineer
Oracle
Salem, OR
2026-06-03
Job Description At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world
Requirements
- BS/MS in Computer Science or equivalent experience
- 6-10+ years building and shipping enterprise distributed or cloud-native systems
- Experience scaling heterogeneous CPU/GPU training infrastructure for large multimodal frontier models
- Strong foundation in system design, distributed systems, and cloud architecture best practices
What you'd do
- At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the sc… At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.
- Values are OCI's foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly… Values are OCI's foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future.
- You are the builder here. You will be part of a team of smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'l… You are the builder here. You will be part of a team of smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged.
- In? OCI ? AI Infrastructure ?org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. In this role, you will drive building state… In? OCI ? AI Infrastructure ?org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. In this role, you will drive building state-of-the-art training infrastructure for massive GPU clusters, as well as designing agentic systems deployed on OCI infrastructure at enterprise-scale. You will be innovating on leading principles of agentic software development and driving the frontier on infrastructure that maximizes the potential of bleeding-edge GPU clusters.
Nice to have
- Production experience with Cloud and ML technologies
- Experience working in the below areas and algorithms will be ideal but not mandatory:?
- Generative AI Modeling: Customizing LLM's, build and deploy LLM's at scale for large scale data generation
- Algorithms: Transformer models, Attention mechanism, Prompt tooling
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Technical Project Manager - Machine Learning & Data Science
Cadmus
Salem, OR
2026-05-30
Overview _What You'll Be Doing_ Cadmus is seeking a Technical Project Manager (TPM) with a passion for delivering high quality projects in a complex, fast paced environment to support a major commercial client in the automotive entertainment space. You will work with machine-learning
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.
What you'd do
- 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… 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 b… 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.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior AI/ML Engineer
Eliassen Group
Salem, OR
2026-05-29
Senior AI/ML Engineer Anywhere Type: Contract-to-Hire Category: Development Industry: Government Workplace Type: Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: http://careers.eliassen.com/YsQ2uG + Description + Recom
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.
What you'd do
- 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.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist, Customer Care
GoTo
Salem, OR
2026-05-22
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist - Senior Manager- Consulting - Location OPEN
EY
Salem, OR
2026-05-21
Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI and Data - Data Scientist
Requirements
- PhD preferred in Computer Science, Machine Learning, Computational Linguistics, Statistics, Applied Mathematics, Operations Research, or a closely related quantitative field. Master's with exceptional… PhD preferred in Computer Science, Machine Learning, Computational Linguistics, Statistics, Applied Mathematics, Operations Research, or a closely related quantitative field. Master's with exceptional applied experience also considered.
- 12+ years of applied data science / ML experience, with at least 3 years in a senior technical leadership role.
- Demonstrable experience taking AI and ML systems from prototype to production - across multiple problem types (e.g., predictive modeling, NLP, retrieval / RAG, optimization, or agentic workflows).
- Hands-on proficiency in Python and the modern ML/AI stack (PyTorch, Hugging Face, scikit-learn, and at least one of LangChain / LangGraph or an equivalent agent / LLM framework).
What you'd do
- As a Senior Manager, Data Scientist, you will be a hands-on technical leader who shapes the data-science agenda across multiple workstreams. You will own technical direction, experimentation, and the … As a Senior Manager, Data Scientist, you will be a hands-on technical leader who shapes the data-science agenda across multiple workstreams. You will own technical direction, experimentation, and the path from prototype to production for the problems you take on. You will be expected to build, not just design and to lift the bar of the team around you.
- Lead data-science strategy and execution across multiple AI workstreams including agentic AI, the cognitive harness, memory and grounding, foundation-model applications, machine learning, optimization… Lead data-science strategy and execution across multiple AI workstreams including agentic AI, the cognitive harness, memory and grounding, foundation-model applications, machine learning, optimization, and applied analytics.
- Drive the applied-research and experimentation agenda long-context vs. retrieval trade-offs, hybrid search, reranking, evaluation design, model selection, fine-tuning, and emerging techniques as the field evolves.
- Design and contribute to the build of core platform components including elements of EY's cognitive harness (memory services, retrieval pipelines, grounding layers, evaluation harnesses) and other reu… Design and contribute to the build of core platform components including elements of EY's cognitive harness (memory services, retrieval pipelines, grounding layers, evaluation harnesses) and other reusable AI capabilities.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist - Fleet Analytics
The Hertz Corporation
Salem, OR
2026-05-21
Senior Data Scientist The Company Hertz is one of the largest global mobility organizations and is currently undergoing a significant digital transformation. Hertz is committed to becoming an essential component of the modern mobility ecosystem which includes leading in digital-first cus
Requirements
- 3-5 years hands-on experience in a data scientist role
- 3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python)
- 3+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and deployment)
- Demonstrated experience using machine learning to drive a business impact
What you'd do
- At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML min… At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML minds to join our Damage Science Team to help us develop and/or maintain capabilities. Examples of projects the team work on include the below:L
- Rationalize Repair Estimates and Invoices with Large Language Models (LLMs): Implement sophisticated LLMs to make intelligent repair routing decisions, ensuring repairs are conducted efficiently and cost-effectively.
- Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends.
- Optimize Decision Making: Create models to determine if we should keep/sell/salvage a vehicle.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist, Manufacturing Analytics
Ford Motor Company
Salem, OR
2026-05-21
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Do you believe data tel
What you'd do
- Accelerate the application of value-added analytics and machine learning into the portfolio of products for Manufacturing Analytics.
- Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods.
- Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams.
- Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Applied Data Scientist
Eliassen Group
Salem, OR
2026-05-20
Senior Applied Data Scientist Anywhere Type: Contract Category: Data Industry: Retail Workplace Type: Remote Reference ID: JN -052026-106994 Date Posted: 05/17/2026 Shortcut: http://careers.eliassen.com/kCjb3j + Description + Recommended Jobs
Requirements
- Strong applied data science background, including optimization, forecasting, or prescriptive analytics in a business environment
- Proficient Python development skills with experience supporting or deploying models in production systems
- Strong SQL expertise, including complex query writing and performance tuning
What you'd do
- Design, develop, and own applied data science and optimization models supporting a pricing engine for products and services
- Apply prescriptive analytics, forecasting, and operations research techniques to pricing, discounting, and value optimization problems
- Translate business requirements into mathematical formulations and data-driven solutions with measurable business impact
- Operationalize and support models using production-quality Python development to deploy solutions into production environments
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Principal Product Manager, Data Science
Norstella
Salem, OR
2026-05-20
Principal Product Manager, Data Science Company: Norstella Location: Remote, United States Date Posted: May 19, 2026 Employment Type: Full Time Job ID: R-1967 Description Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patien
Requirements
- 6+ years of experience applying AI / ML to business applications and delivering data driven solutions.
- Proven track record of innovating on behalf of the customer in close collaboration with business teams and delivering revenue generating products into production.
- Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience.
- Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques.
What you'd do
- In this role as a Principal Product Manager, Data Science, you will:
- Collaborate with product leadership to identity, elaborate and prioritize projects.
- Partner with business-product managers to explore new opportunities to build customer facing capabilities with AI and build and maintain the data science project pipeline.
- Help define requirements and success metrics for identified projects and collaborate with data scientists and engineers to deliver on the commitments.
Nice to have
- Knowledge of the healthcare domain and experience with applying AI to healthcare data.
- Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake.
- Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Lead Data Scientist - Forecasting
CVS Health
Salem, OR
2026-05-20
We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in e
Requirements
- Master'sdegree in Statistics, Mathematics, Computer Science, Engineering, Economics, or relatedquantitative field(PhD preferred)
- 7+ years of experience in forecasting or demand modeling,ideally in a retail or B2C environmentincludinghands-ondeploying enterprise-levelproduction forecasting systems with measurable impact
- 3+ years of experienceworking with a data engineering/MLOpsteam toproductionizedata science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.)
- 4+ years of experience with Python and SQL for large-scale data processing
What you'd do
- The Forecasting Center of Excellence (COE) at CVS Health builds scalable forecasting systems that support pricing, promotions, and assortment decisions across the retail business. As a Lead Data Scien… The Forecasting Center of Excellence (COE) at CVS Health builds scalable forecasting systems that support pricing, promotions, and assortment decisions across the retail business. As a Lead Data Scientist, you will own how demand is modeled and used for decision-making, not just how it is predicted.
- This role focuses on defining and scaling a unified forecasting framework that produces consistent outputs across use cases. You will work with data science, engineering, product management, software … This role focuses on defining and scaling a unified forecasting framework that produces consistent outputs across use cases. You will work with data science, engineering, product management, software development, and business teams to ensure forecasts are not just accurate, but stable, and usable in real decision workflows.
- *In this role, you will have the opportunity to:
- Own thedesign andevolutionof a unified forecastingarchitecture, defininghow demand is constructed
Nice to have
- Experience applyingdemandforecastingmethodsin a retail environment
- In depthunderstandingof merchandising concepts and metrics
- Experience managing large scale projects and working with multiple stakeholders in a matrixed environment
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Clinical Data Scientist
Baylor Scott & White Health
Salem, OR
2026-05-16
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Director, Data Science
Norstella
Salem, OR
2026-05-15
Director, Data Science Company: Norstella Location: Remote, United States Date Posted: May 18, 2026 Employment Type: Full Time Job ID: R-1969 Description Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patient access. Each or
Requirements
- 10+ years of experience developing and deploying AI/ML applications and delivering data-driven solutions at scale
- Demonstrated experience leading and managing data science teams, including hiring, performance management, and talent development
- Proven track record of building and scaling high-performing teams - including designing leveling frameworks, mentorship programs, and succession planning
- Deep hands-on expertise in Generative AI, Large Language Models (LLMs), Agentic AI systems, and advanced NLP/Deep Learning techniques
What you'd do
- As Director of Data Science at Norstella, you will set the strategic vision for our data science capabilities and lead a high-performing team of data scientists and engineers. You will be a technical … As Director of Data Science at Norstella, you will set the strategic vision for our data science capabilities and lead a high-performing team of data scientists and engineers. You will be a technical authority and a people-first leader - building talent, shaping culture, and delivering AI-powered solutions that have a direct impact on patient access to life-saving therapies.
- Define and own the data science strategy, aligning closely with product, engineering, and executive leadership to drive roadmap prioritization
- Lead, mentor, and grow a team of data scientists and ML engineers - fostering a culture of excellence, curiosity, and continuous learning
- Build and develop talent: recruit top-tier data science professionals, design career development frameworks, and create pathways for growth at all levels
Nice to have
- PhD in Computer Science with an AI/ML research focus and publications in top-tier venues
- Experience in the healthcare or life sciences domain; familiarity with applying AI to pharmaceutical or market access data
- Hands-on experience with AWS ML infrastructure: SageMaker, Lambda, S3, Snowflake, and related services
- Experience with knowledge graphs, structured reasoning, and hybrid retrieval architectures
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Science Manager
Maximus
Salem, OR
2026-05-15
Maximus is seeking a Data Science Manager to support the Indiana Eligibility Control Center, helping drive data-informed decision-making across the program. Maximus has supported the Indiana Health Coverage Programs (IHCP) as the state's enrollment broker since 2007. In this role, Maximus helps el
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.
What you'd do
- 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.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
AI Data Scientist Sr.
Sedgwick
Salem, OR
2026-05-15
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist - GenAI/Python/AWS/SQL
Unum Group
Salem, OR
2026-05-14
When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one o
Requirements
- 6+ years of professional experience or equivalent relevant work.
- Proven track record leading end-to-end data science projects with measurable business impact.
- *Technical Expertise
- *Core Data Science Capabilities (expert in at least two, strong in others):
What you'd do
- *Analytical Solution Development
- Design, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modeling.
- Construct predictive models to explain events, forecast behaviors, identify risk, or perform segmentation and clustering.
- Apply domain expertise to ensure models are practical, interpretable, and aligned with business needs.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta
Salem, OR
2026-05-13
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta
Salem, OR
2026-05-13
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta
Montgomery, AL
2026-05-13
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist
SAIC
Huntsville, AL
2026-05-13
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist
Nelnet
Montgomery, AL
2026-05-12
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist
Nelnet
Pierre, SD
2026-05-12
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist
Nelnet
Sioux Falls, SD
2026-05-12
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist
Nelnet
Aberdeen, SD
2026-05-12
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist
Nelnet
Carson City, NV
2026-05-12
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist
Nelnet
Salem, OR
2026-05-12
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
AI & GenAI Data Scientist - EUR- Director
PwC
Birmingham, AL
2026-05-10
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
AI & GenAI Data Scientist - EUR- Director
PwC
Las Vegas, NV
2026-05-10
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior AI/ML Engineer
General Motors
Salem, OR
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Technical Project Manager - Machine Learning & Data Science
Cadmus
Salem, OR
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Principal Data Scientist
Maximus
Salem, OR
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior AI/ML Engineer
General Motors
Carson City, NV
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior AI/ML Engineer
General Motors
Pierre, SD
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Technical Project Manager - Machine Learning & Data Science
Cadmus
Montgomery, AL
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior AI/ML Engineer
General Motors
Montgomery, AL
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Principal Data Scientist
Maximus
Montgomery, AL
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist
Actalent
Birmingham, AL
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Technical Project Manager - Machine Learning & Data Science
Cadmus
Pierre, SD
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Principal Data Scientist
Maximus
Pierre, SD
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.