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 2026-06-05.
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Showing CareerOneStop postings from the last 30 days; the scraper re-syncs from CareerOneStop nightly. Last posting in this list dated 2026-06-05.
Scraper last re-confirmed a WA posting 2026-06-05 07:57 (183 touched today).
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12/12
tasks
Finance Analyst - Mathematical Sciences
University of Washington
Seattle, WA
2026-05-21
Job Description The College of Arts & Sciences has an outstanding opportunity for a Finance Analyst to join their team. Reporting to the Director of Planning and Budgeting, the Finance Analyst will directly impact the success of our Mathematical Sciences units while developing expertise
Requirements
- To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may … To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
- Bachelor's Degree in Finance, Economics or related field
- Minimum of four years of experience in finance, accounting and yearly financial planning
- Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Department.
What you'd do
- *The College of Arts & Sciences has an outstanding opportunity for a Finance Analyst to join their team.
- Reporting to the Director of Planning and Budgeting, the Finance Analyst will directly impact the success of our Mathematical Sciences units while developing expertise in cutting-edge financial system… Reporting to the Director of Planning and Budgeting, the Finance Analyst will directly impact the success of our Mathematical Sciences units while developing expertise in cutting-edge financial systems like Workday, Adaptive Planning, and Financial Cubes. In this role, you will:
- Transforming complex financial data into actionable insights for department leaders
- Partnering with HR Managers to ensure seamless payroll operations
Nice to have
- Advanced excel skills including pivot table, V-Lookup
- Experience with data cubes
- Demonstrated attention to detail
- Demonstrate ability to communicate complex ideas to audiences that are not finance experts
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
12/12
tasks
Mathematics Teacher
Helena School District
Helena, MT
2026-05-19
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
12/12
tasks
Coordinator, K-12 Mathematics & Gifted and Talented Education
Idaho Division of Human Resources
Boise, ID
2026-05-14
Idaho Department of Education This position is exempt from classified state service and the rules of the Division of Human Resources and the Idaho Personnel Commission. Please note: Applications will be accepted through 11:59 PM MST on the posting end date. The Idaho Department of Education
Requirements
- · Undergraduate degree from an accredited college or university with an emphasis in the related area of education.
- · Idaho Teaching Certificate in Elementary Education or Secondary Mathematics endorsement.
- · Five or more years of experience in K-12 education, including teaching or leadership roles.
- · Strong understanding of K-12 content, pedagogy, and instructional best practices.
What you'd do
- · Serve as the state lead and subject matter expert for mathematics, with support for gifted and talented education.
- · Lead and support the development, review, revision, and implementation of Idaho Content Standards in these content areas.
- · Provide guidance, technical assistance, and support to school districts and public charter schools in curriculum, instruction, assessment, intervention, and program implementation.
- · Oversee and lead the design, coordination, and delivery of professional development to strengthen educator knowledge and instructional practice.
Nice to have
- · Teaching experience in mathematics.
- · Graduate-level coursework or degree in the field of education.
- · Additional endorsement in gifted and talented education.
- · Experience teaching or supporting Gifted and Talented Education.
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
12/12
tasks
INSTRUCTOR OF MATHEMATICS
Louisiana Department of State Civil Service
Natchitoches, LA
2026-05-13
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
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
12/12
tasks
Instructor of Mathematics (FAC3072) - In person
Hutchinson Community College
Hutchinson, KS
2026-05-11
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
12/12
tasks
Instructor of Mathematics (FAC2787) - In person
Hutchinson Community College
Hutchinson, KS
2026-05-11
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
12/12
tasks
Lecturer in Mathematics
Iowa State University
Ames, IA
2026-05-08
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
12/12
tasks
7th Grade Mathematics (Anticipated)
Southeast Polk Community School District
Altoona, IA
2026-05-07
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
12/12
tasks
2026-27 Teacher Secondary-Mathematics-Poudre Community Academy
Poudre School Distri
Fort Collins, CO
2026-05-03
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
12/12
tasks
Mathematics Teacher - Grade 6, 1.0 FTE (2026-2027)
Eden Prairie Schools
Eden Prairie, MN
2026-05-02
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
12/12
tasks
2026-27 33% Teacher Secondary-Mathematics-Poudre High School
Poudre School Distri
Fort Collins, CO
2026-04-29
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
12/12
tasks
Full-time High School Mathematics Teacher
AMERICAN HERITAGE SCHOOL - American Fork
American Fork, UT
2026-04-25
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
12/12
tasks
High/Middle School Mathematics Teacher's
MISSION VALLEY CHRISTIAN ACADEMY
Polson, MT
2026-04-23
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
12/12
tasks
DISTRICT INSTRUCTIONAL COORDINATOR - SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS (STEM)
Derby Public Schools
Derby, KS
2026-04-16
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
12/12
tasks
Applied Research Scientist, Computational Mathematics, Physics, & Controls
Meta
Redmond, WA
2026-04-04
Summary: We are seeking an applied research scientist and research engineer with a background in computational mathematics and physics simulation to join our team within Meta's Reality Lab Research. As a member of our research group, you will play a crucial role in developing a large-scale s
Requirements
- Applied Research Scientist, Computational Mathematics, Physics, & Controls Responsibilities:
- Lead complex software system integration and development
- Implement state-of-the-art algorithms for numerical linear algebra, PDEs, optimization/dynamic programming/RL
- Collaborate with cross-functional teams to identify and prioritize project requirements
What you'd do
- We are seeking an applied research scientist and research engineer with a background in computational mathematics and physics simulation to join our team within Meta's Reality Lab Research. As a membe… We are seeking an applied research scientist and research engineer with a background in computational mathematics and physics simulation to join our team within Meta's Reality Lab Research. As a member of our research group, you will play a crucial role in developing a large-scale software library for physics simulations that will drive innovation in robotics and embodied AI applications.You will leverage their expertise in software engineering, computational mathematics, and physics simulations to design, develop, and optimize simulation tools that will enable the development of controls for embodied agents in the physical world. You will work closely with a team of researchers and engineers to develop state-of-the-art simulators and is expected to operate across low-level high-performance software development as well as high-level architectural design.
Nice to have
- Experience with state-of-the-art simulation libraries
- Experience with controls theory and training embodied agents in physical interactions
- Experience with differentiable physics/PDE constrained optimization
- Experience with dimensionality reduction and reduced order modeling
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
12/12
tasks
Mathematics Teacher
Helena School District
Helena, MT
2026-03-19
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
12/12
tasks
Mathematics Teacher
Moscow School District
Moscow, ID
2026-03-04
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
12/12
tasks
Secondary Mathematics Teacher
Wallace School District #393
Silverton, ID
2026-02-14
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
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, HEOR Consulting Services
Norstella
Boise, ID
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, HEOR Consulting Services
Norstella
Olympia, WA
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, HEOR Consulting Services
Norstella
Helena, MT
2026-05-21
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
Statistician - Retail Analytics
Zumiez, Inc.
Lynnwood, WA
2026-05-14
Zumiez, Inc. seeks a Statistician -- Retail Analytics in Lynnwood, WA. POSITION DUTIES: The Statistician - Retail Analytics position will leverage statistical methods and data modeling techniques to uncover insights that help drive strategic decisions across merchandising, marketing, supply ch
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 - Health Services Research
Elevance Health
Nashville, TN
2026-05-08
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
Biostatisticians
University of Utah
Salt Lake City, UT
2026-05-08
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
Fargo, ND
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
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
Biostatisticians
University of Utah
Salt Lake City, UT
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
Supervisory Economist/Supervisory Statistician (Economics)
Bureau of Labor Statistics
Chicago, IL
2026-05-05
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
Assistant Scientist - Clinical Biostatistician
Sanford Health
Fargo, ND
2026-04-22
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
Quantitative Analyst
Banner Bank
Spokane, WA
2026-03-21
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
ERM Quantitative Analyst
BECU
Tukwila, WA
2026-03-20
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
Measurements Specialist/Statistician (MC&A Technical Specialist 3/4)
Los Alamos National Laboratory
Los Alamos, NM
2026-02-18
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
Research Statistician (Scientist 2/3)
Los Alamos National Laboratory
Los Alamos, NM
2026-01-29
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
Machine Learning Engineer - News, Books, and Stocks Team
Apple
Seattle, WA
2026-06-04
Role Number: 200660323-3337 Summary In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning. Our lively and brilliant team cons
Requirements
- MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.
- At least 2 years of experience shipping machine learning models in products.
- Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.
- Ability to communicate effectively and collaborate with partner teams.
What you'd do
- In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of ma… In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning. Our lively and brilliant team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our careers. Our team's outstanding retention rate speaks to our strong culture of respect for our teammates as both engineers and people. Would you like to work on such a team, solving hard problems in machine learning? Terrific! Please join us for the next generation of these apps!
- Our team is seeking a high-energy and self-driven machine learning engineer who will play a central role in the delivery of scalable services. The team uses machine learning to tackle difficult and co… Our team is seeking a high-energy and self-driven machine learning engineer who will play a central role in the delivery of scalable services. The team uses machine learning to tackle difficult and complicated problems in the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and much more! As a member of our dynamic group, you'll have the rare and rewarding opportunity to craft upcoming products that will delight and encourage millions of Apple's customers every day!
Nice to have
- Ph.D. in Machine Learning, Computer Science, or related field.
- At least 5 years of experience shipping machine learning models in products.
- Experience with recommender systems.
- Experience with text-centric AI/ML (LLMs, document classification, search, etc.)
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 I, Demand Forecasting
Amazon
Bellevue, WA
2026-06-04
Description Amazon has the world's most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning fast delivery speeds. We need your skills to optimize our supply chain, with the end goal of delighting our customers. A core part of the supply chain operations
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
What you'd do
- 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
Nice to have
- 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
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 - Pricing
Microsoft Corporation
Redmond, WA
2026-06-04
Overview The Cloud and AI Platforms Monetization organization is a big picture team that encourages a diverse and inclusive culture. We are growth strategists who enable the Microsoft mission by creating durable profit growth through high-impact monetization strategies, packaging, and pricing.
Requirements
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing str… OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing str… OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
What you'd do
- Data Analysis & Modeling: Analyze large-scale datasets to identify patterns, trends, and opportunities for improving yield and efficiency.
- Yield Optimization: Develop machine learning models to optimize resource allocation and pricing strategies.
- Cross-Functional Collaboration: Partner with business planning, engineering, product management, and finance teams to align yield strategies with business objectives.
- Experimentation & A/B Testing: Design and execute experiments to validate optimization hypotheses. Build causal inference models (e.g., difference-in-difference, synthetic control) to measure the impa… Experimentation & A/B Testing: Design and execute experiments to validate optimization hypotheses. Build causal inference models (e.g., difference-in-difference, synthetic control) to measure the impact of business decisions.
Nice to have
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured a… Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing struc… OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing str… OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Experience in Python, R, or similar languages
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
AIML - ML Engineer, Responsible AI
Apple
Seattle, WA
2026-06-04
Weekly Hours: 40 Role Number: 200642026-3337 Summary Would you like to play a part in building the next generation of generative AI applications at Apple? We're looking for scientists and engineers to work on ambitious projects that will impact the future of Apple, our products,
Requirements
- Strong engineering skills and experience in writing production-quality code in Python, Swift or other programming languages
- Background in generative models, natural language processing, LLMs, or diffusion models
- Experience with failure analysis, quality engineering, or robustness analysis for AI/ML based features
- Experience working with crowd-based annotations and human evaluations
What you'd do
- Would you like to play a part in building the next generation of generative AI applications at Apple? We're looking for scientists and engineers to work on ambitious projects that will impact the futu… Would you like to play a part in building the next generation of generative AI applications at Apple? We're looking for scientists and engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world.
- In this role, you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on generative AI. As a member of the Apple HCMI group, you will be working on Apple's … In this role, you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on generative AI. As a member of the Apple HCMI group, you will be working on Apple's generative models that will power a wide array of new features. Our team is currently working on large generative models for vision and language, with particular interest on safety, robustness, and uncertainty in models.
- Develop models, tools, metrics, and datasets for assessing and evaluating the safety of generative models over the model deployment lifecycle
- Develop methods, models, and tools to interpret and explain failures in language and diffusion models
Nice to have
- BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
- Proven track record of contributing to diverse teams in a collaborative 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
AI and Data Science Engineer II
Deloitte
Seattle, WA
2026-06-04
Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creatio
Requirements
- Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
- 2+ years of industry experience outside of academia applying data science or machine learning methods
- Experience translating business goals into machine learning use cases and model design
- Experience performing exploratory data analysis and developing predictive models
Nice to have
- Master's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
- Experience manipulating large marketing data sets and performing extract, transform, and load activities
- Experience with boosted trees, logistic regression, classification techniques, unsupervised models, large language models, or experimental design
- Experience with data sets generated in advertising technology or marketing technology 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
Product Data Science Intern
FlightSafety International Inc
Seattle, WA
2026-06-03
Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-cr
What you'd do
- Docusign's Product Data Science team is looking for a Data Scientist Intern to support the development of key data products and capabilities to enable data-driven product development and decision maki… Docusign's Product Data Science team is looking for a Data Scientist Intern to support the development of key data products and capabilities to enable data-driven product development and decision making. In this role, you would be part of the Product Data Science team and work directly in partnership with a variety of stakeholders including but not limited to Product, Engineering and User Experience partners to support and empower them with data-driven actionable insights. You will be embedded in specific product spaces requiring you to establish and grow relationships. As a Data Scientist Intern, you'll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments and develop data science models to drive customer experience, engagement, and adoption of Docusign's products.
- This role is not eligible for OPT or sponsorship now or in the future.
- This position is an individual contributor role reporting to the Director, Product Data Science.
- *Responsibility
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
Machine Learning Engineer
FlightSafety International Inc
Seattle, WA
2026-06-03
Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-cr
What you'd do
- As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You will bridge the gap… As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You will bridge the gap between core AI research and production-grade engineering, developing scalable platforms for autonomous agents, advanced retrieval systems, and automated model optimization.
- This position is an individual contributor role reporting to the
- Director, Machine Learning Engineering
- *Responsibility
Nice to have
- Experience with distributed task queues or stateful workflow engines for managing complex, multi-step AI processes
- Experience with frameworks designed for horizontal scaling of compute-intensive ML workloads
- Experience designing "agent-loop" architectures that involve tool-use, self-correction, and multi-step reasoning
- Familiarity with vector storage systems and high-throughput data processing pipelines
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
iSpot.tv, INC.
Bellevue, WA
2026-06-02
Implement industry-standard predictive modeling solutions. Analyze, manipulate, clean, and process large and messy data using predictive modeling solutions and cloud-based computing resources/infrastructure to scale and optimize data science tools and pipelines. Code original R/Python scripts, optim
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
Machine Learning Engineer, Monetization Engineering
Pinterest, Inc.
Seattle, WA
2026-06-02
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with t
Requirements
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and … 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, machine learning, statistics, or related field
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
What you'd do
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
Nice to have
- Publications at top ML conferences
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
- Expertise in scalable realtime systems that process stream data
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, PPE Product Intelligence
Amazon
Seattle, WA
2026-06-02
Description Amazon's Price Perception and Evaluation team is seeking a driven Data Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to build and scale an advanced self-learning scientific price estimation and product unders
Requirements
- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- Bachelor's degree
What you'd do
- Design and run rigorous experiments at scale to evaluate and improve foundation model performance across hundreds of millions of products, geographies, and business verticals
- Lead the end-to-end lifecycle of evaluation models - from research and experimentation through production launch - including defining success metrics, obtaining stakeholder sign-off, and managing rollout
- Conduct online and offline labs to measure the real-world impact of model improvements beyond accuracy, including downstream supply chain, inventory, and financial outcomes
- Develop and deploy production-grade statistical models using Python, Scala, SQL, and related tools
Nice to have
- 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)
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, PPE Product Intelligence
Amazon
Seattle, WA
2026-05-31
Description Amazon's Price Perception and Evaluation team is seeking a driven Data Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to build and scale an advanced self-learning scientific price estimation and product unders
Requirements
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
What you'd do
- Design and run rigorous experiments at scale to evaluate and improve foundation model performance across hundreds of millions of products, geographies, and business verticals
- Lead the end-to-end lifecycle of evaluation models - from research and experimentation through production launch - including defining success metrics, obtaining stakeholder sign-off, and managing rollout
- Conduct online and offline labs to measure the real-world impact of model improvements beyond accuracy, including downstream supply chain, inventory, and financial outcomes
- Develop and deploy production-grade statistical models using Python, Scala, SQL, and related tools
Nice to have
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
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
Consultant - Data Science / Data Lake
Deloitte
Seattle, WA
2026-05-31
Consultant - Data Science / Data Lake Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to stren
Requirements
- 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
- 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
- 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
- Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
Nice to have
- Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
- Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support
- Experience parsing and normalizing cyber or information technology telemetry datasets
- Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
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 - 3035128
Apex Systems, Inc.
Redmond, WA
2026-05-30
Job#: 3035128 Job Description: We are seeking a Data Scientist who is passionate about delivering high-impact, high-quality results to join the Player Data and Insights team. In this role, you will drive insights that inform the Game Studio strategy, with a focus on Consumer Products, Ou
Requirements
- 5 years of experience in data analytics.
- 5 years of experience with SQL, bonus if familiar with SparkSQL, Databricks, or Azure Data Explorer.
- 2 years of experience with dashboarding tools, PowerBI preferred.
- Proficient in Python, bonus if familiar with PySpark.
What you'd do
- We are seeking a Data Scientist who is passionate about delivering high-impact, high-quality results to join the Player Data and Insights team. In this role, you will drive insights that inform the Ga… We are seeking a Data Scientist who is passionate about delivering high-impact, high-quality results to join the Player Data and Insights team. In this role, you will drive insights that inform the Game Studio strategy, with a focus on Consumer Products, Out of Game Experiences and Partnerships. You'll collaborate closely with the stakeholder teams to enhance consumer products reporting, analyze out of game experiences, evaluate opportunities, and recommend data-drive strategies to level up the connection between all parts of the franchise. This role is additional coverage for a team member on maternity leave, and you will be taking over additional duties beyond this specific scope as needed. These include maintaining forecasting models, assisting in franchise reporting and estimation, and collaborating with other data science vendors in the Beyond the Game space. Specific responsibilities include making recommendations to optimize business performance and evaluating the impact of various programs and initiatives on critical metrics, including tying out of game activities to in-game metrics. The ideal candidate will have experience with statistical analysis, data visualization tools, and strong communication skills to translate insights into actionable recommendations for both technical and non-technical stakeholders.
- Partner with Consumer Products team and PADI data engineering to turn our Consumer Products data into clear reporting and actionable insights.
- Identify key learnings from your analysis and synthesize them into recommendations for stakeholders.
- Work collaboratively with other PADI data scientists to incorporate Beyond the Game findings into relevant major analyses and franchise beats.
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
Deloitte
Portland, OR
2026-05-30
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is d
Requirements
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- 5+ Years of Experience in a Data Science or Machine Learning role.
- 5+ Years of Experience Proficiency in programming languages such as Python or R.
- 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
What you'd do
- Work with stakeholders to identify business problems and formulate them as data science challenges.
- Collect, clean, and explore large datasets to uncover trends and patterns.
- Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
- Validate and deploy models 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
Data Scientist
Deloitte
Bellevue, WA
2026-05-30
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is d
Requirements
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- 5+ Years of Experience in a Data Science or Machine Learning role.
- 5+ Years of Experience Proficiency in programming languages such as Python or R.
- 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
What you'd do
- Work with stakeholders to identify business problems and formulate them as data science challenges.
- Collect, clean, and explore large datasets to uncover trends and patterns.
- Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
- Validate and deploy models 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.