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.
Scraper last re-confirmed a WA posting 2026-06-05 07:57 (183 touched today).
Showing CareerOneStop postings from the last 30 days; the scraper re-syncs from CareerOneStop nightly. Last posting in this list dated 2026-06-05.
Scraper last re-confirmed a WA posting 2026-06-05 07:57 (183 touched today).
Looking in:
All US
WA (4607)
ID (877)
MT (824)
OR (746)
AR (644)
AL (585)
NM (566)
NE (561)
CO (517)
UT (515)
SD (461)
AZ (453)
OK (453)
ND (445)
MN (429)
WY (421)
MS (398)
NV (395)
KS (383)
IA (369)
MO (369)
LA (356)
KY (346)
WI (335)
TN (325)
IL (324)
TX (324)
CA (283)
GA (51)
NC (15)
reset
Occupations:
All
Software Developers (2826)
Network and Computer Systems Administrators (949)
Data Scientists (601)
Business Intelligence Analysts (408)
Information Security Analysts (364)
Management Analysts (316)
Software Quality Assurance Analysts and Testers (241)
Computer Network Architects (151)
12/12
tasks
Mathematics Instructor - Adjunct - Spokane Community College
Spokane Colleges
Spokane, WA
2026-06-03
Mathematics Instructor - Adjunct - Spokane Community College Spokane Colleges Location: Spokane CC Main Campus Spokane Department: SCC Mathematics Open continuous. Starting salary for this position is: $42.05 - $89.48 per hour based on workload category. This is
Requirements
- Master's degree in Mathematics or Statistics or in a closely related field with graduate level Math coursework.
- Commitment to fostering and supporting student success.
- Understanding and acceptance of the mission, values, goals and objectives of SCC.
- []{style="font-family: Arial, Helvetica, sans
What you'd do
- Prepare for and instruct classes in Mathematics. Class modality may be in person, hybrid, or online.
- Provide availability to students through a combination of office hours, e-mail and other effective means of responsive and timely communication.
- Communicate expectations and establish clear grading criteria, to include but not limited to developing course syllabi, handouts, and materials supporting the instructional process.
- Evaluate student progress and provide clear, timely feedback.
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
HR Manager - Mathematical Sciences
University of Washington
Seattle, WA
2026-05-21
Job Description The College of Arts & Sciences has an outstanding opportunity for an HR Manager to join their team. Reporting to the Director of Personnel Services, the HR Manager delivers end-to-end HR support through close collaboration with academic leadership, finance partners, and s
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
- Minimum of four years of experience in human resources
- 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 an HR Manager to join their team.
- Reporting to the Director of Personnel Services, the HR Manager delivers end-to-end HR support through close collaboration with academic leadership, finance partners, and shared service teams. As an H… Reporting to the Director of Personnel Services, the HR Manager delivers end-to-end HR support through close collaboration with academic leadership, finance partners, and shared service teams. As an HR Manager in the College Business Office, you will provide comprehensive human resources support to the Mathematical Sciences cohort, contributing across staff, student, and academic HR functions. This role will support HR functions for the departments of Applied Mathematics, Mathematics, and Statistics and will serve as a key HR resource, ensuring personnel actions are accurate, timely, and aligned with university policies.
- This is an excellent opportunity for an HR professional who enjoys variety, partnership, and applying HR expertise across multiple employee groups in a complex academic environment.
- This role is located on the Seattle campus and operates on a Monday through Friday, 8:00 AM to 5:00 PM schedule. While primarily onsite, the position may offer up to two remote workdays per week.
Nice to have
- Experience synthesizing diverse data sources to reach personnel and policy/procedural recommendations. Ability to communicate complex ideas to audiences that are not HR experts
- Problem solving skills
- Curiosity and imagination
- Able to deal with ambiguity
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
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
Assistant Professor in the Mathematics of AI
UTAH STATE UNIVERSITY
Logan, UT
2026-05-18
Assistant Professor in the Mathematics of AI Requisition ID: 2025-9612 # of Openings: 1 Location: US-UT-Logan Category: Faculty Position Type: Benefited Full-Time Job Classification: Faculty College: College of Arts and Sciences Department: Mathematics and Statistics Advertised Sal
What you'd do
- Research: Develop an independent and externally funded research program at the interface of mathematics and AI.
- Teaching: Deliver undergraduate core mathematics courses (1000-3000 levels), courses within the interdisciplinary/applied mathematics graduate core (see USU General Catalog at https://catalog.usu.edu/… Teaching: Deliver undergraduate core mathematics courses (1000-3000 levels), courses within the interdisciplinary/applied mathematics graduate core (see USU General Catalog at https://catalog.usu.edu/ and search courses with prefix MATH, numbered 5000+), and develop advanced courses in AI, machine learning, computational mathematics, and data science.
- Mentorship: supervise graduate students (PhD and MS, including the Industrial Math MS) and undergraduate students in programs including AI/data science and computational math.
- Collaboration: establish and maintain synergies across campus (e.g. computing, engineering, life sciences, natural resources, social sciences) and contribute... For full info follow application link.
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 Adjunct Faculty
Lower Columbia College
Longview, WA
2026-05-16
At a Glance! Lower Columbia College is seeking a dynamic, energetic, and creative adjunct instructor to teach courses in math. Coursework may include Precalculus, Trigonometry, Statistics, and/or developmental math support courses. This position will be responsible for teaching courses in mathem
What you'd do
- The successful candidate will have the following responsibilities:
- Provide quality instruction in the classroom and online, adapting to a variety of teaching/learning situations, and maintaining up to date content.
- Teach and supervise group learning experiences, being responsible for maintaining a supportive learning environment.
- Effectively use computer applications/technology for instruction and communication as appropriate
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 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
Adjunct Faculty POOL- Applied Mathematics Adjunct Instructor (2025-2026 Academic Year)
WALLA WALLA COMMUNITY COLLEGE
Walla Walla, WA
2026-04-21
Walla Walla Community College is accepting applications for a part-time Applied Mathematics AdjunctInstructor to be part of a pool of professionals we can reach out to for teaching vocational Mathematics courses. Walla Walla Community College (WWCC) seeks to develop applicant pools for adj
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 - Non-Tenure Track Faculty Vacancy Pool
Western Washington University
Bellingham, WA
2026-03-21
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 Instructor - Adjunct - Spokane Falls Community College
Spokane Colleges
Spokane, WA
2026-03-17
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
Part-time Mathematics Professor - Continuous Pool
Clark College
Vancouver, WA
2026-03-13
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
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
Mathematics Instructor - Adjunct - Spokane Community College
Spokane Colleges
Spokane, WA
2026-02-25
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
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
12/12
tasks
Adjunct Faculty POOL- Mathematics (2025-2026 Academic Year)
WALLA WALLA COMMUNITY COLLEGE
Walla Walla, WA
2025-11-26
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
Adjunct Faculty Instructor POOL- Mathematics (2025-2026 Academic Year)
WALLA WALLA COMMUNITY COLLEGE
Walla Walla, WA
2025-08-09
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
Senior Director, Biostatistics
Otsuka America Pharmaceutical Inc.
Boise, ID
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
Senior Director, Biostatistics
Otsuka America Pharmaceutical Inc.
Olympia, WA
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, 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
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
Associate Director, Biostatistics
Gilead Sciences, Inc.
Foster City, CA
2026-05-13
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
Senior Principal Statistician, Early Development
Genentech
South San Francisco, CA
2026-05-07
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
Associate Director, Biostatistics and Statistical Programming
Xeris Pharmaceuticals, Inc.
Boise, ID
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.
Olympia, WA
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
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
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
Boise, ID
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.
Boise, ID
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.
Olympia, WA
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
Manager, Machine Learning Engineering - Ad Platforms
The Walt Disney Company
Seattle, WA
2026-06-04
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney
Requirements
- Bachelor's or master's degree in computer science, Engineering,
- Mathematics, Statistics, or a related field.
- 8+ years of relevant industry experience, with at least 2-3 years in a people-management or technical leadership role.
- Proven ability to translate business problems into scalable ML and GenAI solutions and strong understanding of machine learning fundamentals, deep learning, and statistical modeling.
What you'd do
- You will apply your battle-tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML/AI team… You will apply your battle-tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML/AI team members to design and build scalable, performant, maintainable, and testable models and pipelines in various domains using industry best practices which are aligned in close collaboration with the ML team in the US highlighting cross-functional collaboration.
- Daily, you should bring:
- A willingness and desire to effectively communicate and collaborate across teams and systems on architecture, design, and implementation.
- A passion for mentoring, learning, and taking on new challenges.
Nice to have
- Domain knowledge in the Ad Tech industry
- Experience working with large-scale data and distributed systems.
- Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and MLOps pipelines.
- Track record of innovation and contributions to the ML/AI community (publications, talks, open source).
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 - 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
Staff AI/ML Engineer - Future Sensing, Embodied AI
General Motors
Olympia, WA
2026-06-04
Job Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware
What you'd do
- At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're t… At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
- As a Staff AI/ML Future Sensing Engineer in the Embodied AI organization, you will serve as a senior individual contributor driving end-to-end technical work that informs next-generation sensing archi… As a Staff AI/ML Future Sensing Engineer in the Embodied AI organization, you will serve as a senior individual contributor driving end-to-end technical work that informs next-generation sensing architecture decisions. You will help define and evaluate machine learning and perception solutions that directly impact autonomous driving performance, with emphasis on future sensing architectures, multi-modal sensor fusion, system integration, and the technical evidence required to support sensor and compute decisions.
- In this role, you will partner closely with cross-functional engineering teams, contribute to core technical direction within your domain, and support the growth of engineers through technical collabo… In this role, you will partner closely with cross-functional engineering teams, contribute to core technical direction within your domain, and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboard ML and perception solutions while contributing to the continuous improvement of GM's autonomy stack and sensing strategy.
- *What You'll Do
Nice to have
- Experience in robotics or autonomous driving systems
- Experience with architecting perception or sensory systems for automotive, robotics, or safety-critical platforms
- Experience with system integration across sensors, calibration, compute, and onboard software pipelines
- Experience with simulation, synthetic data, and sim-to-road evaluation workflows
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 - Future Sensing, Embodied AI
General Motors
Olympia, WA
2026-06-04
Job Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware
What you'd do
- At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're t… At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
- As a Senior AI/ML Future Sensing Engineer in the Embodied AI organization, you will develop and evaluate machine learning solutions contributing to future sensing architecture decisions and autonomous… As a Senior AI/ML Future Sensing Engineer in the Embodied AI organization, you will develop and evaluate machine learning solutions contributing to future sensing architecture decisions and autonomous driving performance. You will contribute to designing and improving ML and perception models that support safe and reliable vehicle behavior across real-world scenarios, while helping connect sensing choices to measurable performance outcomes.
- You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready or production-informing solutions while contributing to… You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready or production-informing solutions while contributing to engineering best practices, technical analyses, and delivery execution.
- *What You'll Do
Nice to have
- Experience withperceptionsensors including cameras, radar, and lida
- Experience with multi-modal sensor fusion and system integration
- Experience with production ML pipelines, model optimization, and performance tuning
- Experience with simulation, synthetic data, or scenario-based evaluation
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
Staff Machine Learning Engineer - News, Books, and Stocks Team
Apple
Seattle, WA
2026-06-04
Role Number: 200647772-3337 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
Requirements
- MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.
- At least 5 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.
- Experience designing user-facing machine learning features with interdisciplinary partners.
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 machine learning.
- Our lively and brilliant team consists of client and machine learning engineers who embody
Nice to have
- Experience in a technical leadership role.
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 Machine Learning Engineering Manager, Ad Platforms
The Walt Disney Company
Seattle, WA
2026-06-04
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney
Requirements
- Bachelor's or master's degree in computer science, Engineering, Mathematics, Statistics, or a related field.
- 10+ years of relevant industry experience, with at least 5 years in people-management managing senior ICs and managers.
- Proven ability to translate business problems into scalable ML and GenAI solutions and strong understanding of machine learning fundamentals, deep learning, and statistical modeling.
- Proven experience designing, building, and deploying scalable machine learning models and systems in production.
What you'd do
- You will apply your battle-tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML/AI team… You will apply your battle-tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML/AI team members to design and build scalable, performant, maintainable, and testable models and pipelines in various domains using industry best practices which are aligned in close collaboration with the ML team in the US highlighting cross-functional collaboration.
- Daily, you should bring:
- A willingness and desire to effectively communicate and collaborate across teams and systems on architecture, design, and implementation.
- A passion for mentoring, learning, and taking on new challenges.
Nice to have
- Domain knowledge in the Ad Tech industry
- Experience working with large-scale data and distributed systems.
- Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and MLOps pipelines.
- Track record of innovation and contributions to the ML/AI community (publications, talks, open source).
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 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
Associate Director, Data Science
Chewy Inc.
Bellevue, WA
2026-06-03
Associate Director, Data Science (Chewy, Inc.; Bellevue, Washington): Combine deep understanding of machine learning, advanced data analysis, statistical testing, and the ability to communicate insights effectively to both technical and non-technical stakeholders. Operate as a full stack data sc
Requirements
- Apply advanced mathematics and data science methodologies;
- Standard machine learning and statistical techniques including predictive models (time series, regression, etc.), classification, forecasting; and
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 Staff Research Data Scientist, DevIE
Google
Kirkland, WA
2026-06-03
Senior Staff Research Data Scientist, DevIE _corporate_fare_ Google _place_ Sunnyvale, CA, USA; Kirkland, WA, USA; +2 more; +1 more Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_
Requirements
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
What you'd do
- Our mission is to accelerate Google's velocity by empowering developers with AI-ready knowledge, trusted content, and scaled and targeted enablement programs.
- We are looking for a Data Scientist (DS) who can work in a rapidly evolving tech landscape with novel methodologies, to generate actionable insights for product teams and leaders.
- In this role, you will engage deeply with Google DeepMind and the core of Google's AI capabilities. You will shape the investigative directions and strategies for Gemini, revealing actionable insights… In this role, you will engage deeply with Google DeepMind and the core of Google's AI capabilities. You will shape the investigative directions and strategies for Gemini, revealing actionable insights into how it integrates with Google's complex software engineering ecosystem. Additionally, you will drive an understanding of how various agentic capabilities affect software and model development workflows, leveraging these insights to optimize complex systems at a Google scale.
- The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay i… The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Nice to have
- 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
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 Engineering Manager
Indeed
Portland, OR
2026-06-03
Our Mission As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and c
What you'd do
- At Indeed, we are committed to delivering exceptional experiences that connect job seekers with opportunities through innovative technology. We integrate machine learning at every step to create consi… At Indeed, we are committed to delivering exceptional experiences that connect job seekers with opportunities through innovative technology. We integrate machine learning at every step to create consistent, engaging, and secure experiences that meet the needs of our users. Our teams consist of Software Engineers, UX Designers, Product Managers, and Machine Learning professionals collaborating across regions to drive impactful business outcomes.
- As a Machine Learning Engineering Manager, you will onboard and oversee junior scientists and technical leads, partnering closely with Product, Software Engineering, and UX teams. Your focus will incl… As a Machine Learning Engineering Manager, you will onboard and oversee junior scientists and technical leads, partnering closely with Product, Software Engineering, and UX teams. Your focus will include developing and innovating machine learning ecosystems that upgrade job seeker journey experience end to end
- Coach Machine Learning Engineers and Data Scientists on the Journey team to improve their performance, advise them on their career direction, and develop their qualifications.
- Work to understand, prioritize, and plan the team's work items without external guidance.
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.