Job Matches
Washington job postings for occupations your coursework prepares you for. Sorted by how many of the occupation's tasks your courses cover.
Demo profile: Math BS with Data Science minor. Sign in (GitHub) to rank these jobs against your own courses, projects, internships, and work experience — each added signal sharpens the qualification match.
50 Washington postings
across 3 occupations the EWU Math BS prepares you for
· ranked by how many tasks your 16 declared courses cover.
Showing CareerOneStop postings from the last 30 days; the scraper re-syncs from CareerOneStop nightly. Last posting in this list dated 2026-06-06.
Scraper last re-confirmed a WA posting 2026-06-06 02:56 (113 touched today).
Showing CareerOneStop postings from the last 30 days; the scraper re-syncs from CareerOneStop nightly. Last posting in this list dated 2026-06-06.
Scraper last re-confirmed a WA posting 2026-06-06 02:56 (113 touched today).
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12/12
tasks
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
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
Associate Professor (Mathematics)
Bryant & Stratton
Wauwatosa, WI
2026-05-07
Tasks you're prepared for
(12 of 12 for Mathematicians)
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
+7 more covered tasks
12/12
tasks
Secondary Mathematics Teacher
Wallace School District #393
Silverton, ID
2026-02-14
Tasks you're prepared for
(12 of 12 for Mathematicians)
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
+7 more covered tasks
18/19
tasks
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
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
Sr Quantitative Analyst
Exelon
Oakbrook Terrace, IL
2026-05-08
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Biostatistician - Academic Research
Sanford Health
Sioux Falls, SD
2026-05-06
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Supervisory Economist/Supervisory Statistician (Economics)
Bureau of Labor Statistics
Chicago, IL
2026-05-05
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Associate Director, Biostatistics and Statistical Programming
Xeris Pharmaceuticals, Inc.
Jackson, MS
2026-04-11
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Associate Director, Biostatistics and Statistical Programming
Xeris Pharmaceuticals, Inc.
Pierre, SD
2026-04-11
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Associate Director, Biostatistics and Statistical Programming
Xeris Pharmaceuticals, Inc.
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
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
Head of Scientific Analytics-Biostatistics/Real World Data
Oracle
Pierre, SD
2026-02-26
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Associate Director, Biostatistics
Otsuka America Pharmaceutical Inc.
Salem, OR
2025-11-20
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Associate Director, Biostatistics
Otsuka America Pharmaceutical Inc.
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.
Pierre, SD
2025-11-20
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Principal Machine Learning Engineer
Oracle
Salem, OR
2026-06-03
Job Description At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world
Requirements
- BS/MS in Computer Science or equivalent experience
- 6-10+ years building and shipping enterprise distributed or cloud-native systems
- Experience scaling heterogeneous CPU/GPU training infrastructure for large multimodal frontier models
- Strong foundation in system design, distributed systems, and cloud architecture best practices
What you'd do
- At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the sc… At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.
- Values are OCI's foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly… Values are OCI's foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future.
- You are the builder here. You will be part of a team of smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'l… You are the builder here. You will be part of a team of smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged.
- In? OCI ? AI Infrastructure ?org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. In this role, you will drive building state… In? OCI ? AI Infrastructure ?org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. In this role, you will drive building state-of-the-art training infrastructure for massive GPU clusters, as well as designing agentic systems deployed on OCI infrastructure at enterprise-scale. You will be innovating on leading principles of agentic software development and driving the frontier on infrastructure that maximizes the potential of bleeding-edge GPU clusters.
Nice to have
- Production experience with Cloud and ML technologies
- Experience working in the below areas and algorithms will be ideal but not mandatory:?
- Generative AI Modeling: Customizing LLM's, build and deploy LLM's at scale for large scale data generation
- Algorithms: Transformer models, Attention mechanism, Prompt tooling
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Staff Machine Learning Engineer
Micron Technology, Inc.
Boise, ID
2026-06-03
Our vision is to transform how the world uses information to enrich life for _all_ . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and adva
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 Data Scientist
Micron Technology, Inc.
Boise, ID
2026-06-03
Our vision is to transform how the world uses information to enrich life for _all_ . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and adva
Requirements
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, or a related quantitative field, plus 5+ years of experience in data science, machine lea… Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, or a related quantitative field, plus 5+ years of experience in data science, machine learning, or advanced analytics roles.
- Strong proficiency in Python and SQL, with hands-on experience developing, testing, and deploying predictive or statistical models on large, complex datasets.
- Working knowledge of core data science and AI/ML tools, including Python libraries such as pandas, NumPy, and scikit-learn, with hands-on experience in Snowflake, Streamlit, and modern AI/ML development environments.
- Experience working with Finance-related data, workflows, and business needs, including corporate finance, P&L, and manufacturing cost data, as well as forecasting, variance analysis, scenario planning… Experience working with Finance-related data, workflows, and business needs, including corporate finance, P&L, and manufacturing cost data, as well as forecasting, variance analysis, scenario planning, actuals-to-forecast reconciliation, or financial waterfall reporting.
What you'd do
- Lead the development of predictive models for finance use cases, including:
- Forecasting (revenue, expenses, cost drivers)
- Variance analysis (actuals vs. plan, drivers of deviation)
- Scenario modeling and sensitivity analysis to support business planning
Nice to have
- Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, Mathematics, Operations Research, Finance, Economics, or a related quantitative discipline.
- Experience applying advanced machine learning, time series modeling, optimization, or AI techniques to Finance-related data, workflows, and business needs, including corporate finance, P&L, manufactur… Experience applying advanced machine learning, time series modeling, optimization, or AI techniques to Finance-related data, workflows, and business needs, including corporate finance, P&L, manufacturing cost data, forecasting, scenario modeling, driver analysis, or decision support.
- Hands-on experience developing, deploying, and monitoring conversational AI agents or LLM-based solutions in Snowflake, cloud, or similar enterprise data environments, including prompt/instruction des… Hands-on experience developing, deploying, and monitoring conversational AI agents or LLM-based solutions in Snowflake, cloud, or similar enterprise data environments, including prompt/instruction design, evaluation, and performance optimization.
- Experience translating finance business logic into production-grade analytical applications, model features, prompts, rules, or agent workflows that support scalable decision-making.
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 Engineer
Indeed
Boise, ID
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
- As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be collaborating with a cross-functional product team to… As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be collaborating with a cross-functional product team to drive value and better customer experiences for our Sourcing product, which connects employers with new talent through AI. This Senior MLE will help us improve our automated outreach quality, building new agentic experiences, and LLMOps reliability and infrastructure.
- Autonomously deliver ML and AI projects, including prompt development and evaluation, training ML models, building LLM-as-a-Judge capabilities, and building recommendation / ranking systems
- Develop LLM and machine learning model improvements, scale them in production, and run iterative A/B tests to improve our Sourcing product
- Estimate potential business impact of AI and ML and balance tradeoffs between delivery velocity and systematic infrastructure investments
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
Boise, ID
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
Machine Learning Engineering Manager
Indeed
Boise, ID
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.
15/16
tasks
Technical Project Manager - Machine Learning & Data Science
Cadmus
Salem, OR
2026-05-30
Overview _What You'll Be Doing_ Cadmus is seeking a Technical Project Manager (TPM) with a passion for delivering high quality projects in a complex, fast paced environment to support a major commercial client in the automotive entertainment space. You will work with machine-learning
Requirements
- 5+ years of experience as a Technical Project Manager or Scrum Master, managing cross-functional projects.
- Bachelor's degree in Information Systems, BI or Analytics or Engineering.
- Strong technical proficiency and experience working with Machine Learning (ML) or Data Science/Artificial Intelligence (DS/AI) teams.
- Experience managing large, ambiguous, cross-functional programs operating in fast-paced, highly collaborative environments.
What you'd do
- Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals… Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals, and objectives of the company. Coordinate activities with internal teams and external partners.
- Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team's activities and interdependencies between teams. Manage removing b… Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team's activities and interdependencies between teams. Manage removing blockers, risks, and issues. Report program status.
- Lead Agile ceremonies and assist with story definition, backlog prioritization, and dependency resolution.
- Help Engineering teams balance scope, timeline, and quality to achieve optimal outcomes based on an understanding of priorities.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist
Deloitte
Boise, ID
2026-05-30
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is d
Requirements
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- 5+ Years of Experience in a Data Science or Machine Learning role.
- 5+ Years of Experience Proficiency in programming languages such as Python or R.
- 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
What you'd do
- Work with stakeholders to identify business problems and formulate them as data science challenges.
- Collect, clean, and explore large datasets to uncover trends and patterns.
- Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
- Validate and deploy models into production environments.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Technical Project Manager - Machine Learning & Data Science
Cadmus
Boise, ID
2026-05-30
Overview _What You'll Be Doing_ Cadmus is seeking a Technical Project Manager (TPM) with a passion for delivering high quality projects in a complex, fast paced environment to support a major commercial client in the automotive entertainment space. You will work with machine-learning
Requirements
- 5+ years of experience as a Technical Project Manager or Scrum Master, managing cross-functional projects.
- Bachelor's degree in Information Systems, BI or Analytics or Engineering.
- Strong technical proficiency and experience working with Machine Learning (ML) or Data Science/Artificial Intelligence (DS/AI) teams.
- Experience managing large, ambiguous, cross-functional programs operating in fast-paced, highly collaborative environments.
What you'd do
- Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals… Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals, and objectives of the company. Coordinate activities with internal teams and external partners.
- Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team's activities and interdependencies between teams. Manage removing b… Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team's activities and interdependencies between teams. Manage removing blockers, risks, and issues. Report program status.
- Lead Agile ceremonies and assist with story definition, backlog prioritization, and dependency resolution.
- Help Engineering teams balance scope, timeline, and quality to achieve optimal outcomes based on an understanding of priorities.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior AI/ML Engineer
Eliassen Group
Salem, OR
2026-05-29
Senior AI/ML Engineer Anywhere Type: Contract-to-Hire Category: Development Industry: Government Workplace Type: Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: http://careers.eliassen.com/YsQ2uG + Description + Recom
Requirements
- 10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.
- Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.
- Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.
- Strong Python skills with TensorFlow and PyTorch.
What you'd do
- Engineer AI solutions using LLM providers and implement complex multi-agent workflows.
- Design and develop predictive models using regression, classification, clustering, and neural networks.
- Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.
- Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior AI/ML Engineer
Eliassen Group
Boise, ID
2026-05-29
Senior AI/ML Engineer Anywhere Type: Contract-to-Hire Category: Development Industry: Government Workplace Type: Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: http://careers.eliassen.com/YsQ2uG + Description + Recom
Requirements
- 10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.
- Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.
- Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.
- Strong Python skills with TensorFlow and PyTorch.
What you'd do
- Engineer AI solutions using LLM providers and implement complex multi-agent workflows.
- Design and develop predictive models using regression, classification, clustering, and neural networks.
- Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.
- Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist III
Indeed
Boise, ID
2026-05-23
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
- As a Data Scientist III at Indeed, you will leverage your expertise in data science, statistics, AI and machine learning to take on complex product, marketing and business challenges. You will design … As a Data Scientist III at Indeed, you will leverage your expertise in data science, statistics, AI and machine learning to take on complex product, marketing and business challenges. You will design and implement analytical solutions that guide decisions, optimize product performance or marketing campaigns, and create measurable impact across the organization.
- You will work closely with engineering and product or marketing teams to identify opportunities, evaluate initiatives, and develop models and analyses that inform data-driven strategies. You will also… You will work closely with engineering and product or marketing teams to identify opportunities, evaluate initiatives, and develop models and analyses that inform data-driven strategies. You will also contribute to building best practices in data science and mentor others in the team, helping elevate the technical capabilities and impact of those around you.
- Oversee the design and execution of advanced analyses, experiments, and machine learning models to address complex questions.
- Translate data into actionable insights to guide product, marketing and business decisions.
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 -Project Delivery Senior Analyst - AI & Engineering
Deloitte
Boise, ID
2026-05-23
Data Scientist -Project Delivery Senior Analyst - AI & Engineering Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant
Requirements
- 4+ years of experience Proficiency with Python, statistical modeling, and machine learning frameworks (e.g. scikit-learn, PyTorch, TensorFlow).
- 4+ years of experience with feature engineering, model development, validation, and deployment.
- 4+ years of experience Understanding of MLOps pipelines, model versioning, monitoring, and retraining processes.
- 4+ years of experience Ability to translate complex business problems into analytical solutions with measurable outcomes.
What you'd do
- The Data Scientist will analyze, cleanse, and model complex data to help organizations make better decisions and predict future trends.
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require ad… Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
- AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.… AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
- Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and … Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist, Customer Care
GoTo
Salem, OR
2026-05-22
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Staff Machine Learning Engineer
Micron Technology, Inc.
Boise, ID
2026-05-22
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist, Customer Care
GoTo
Boise, ID
2026-05-22
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
AI/ML Engineer - Higher Ed
Cengage Group
Boise, ID
2026-05-22
We believe in the power and joy of learning At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose - driving innovation that helps millions of learners improve their lives and achieve their
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field
- 4+ years of experience in software engineering, with at least 2 years focused on AI/ML
- Strong proficiency in Python with experience building production ML or LLM systems
- Hands-on experience with modern AI APIs (OpenAI, Anthropic, AWS Bedrock)
What you'd do
- *HED AI Feature Development
- Ship and improve AI features weekly across Cengage HED platforms
- Build and integrate Student Assistant capabilities including tutoring, hinting, and feedback
- Develop Instructor Insight Assistant features for course analytics and at-risk student identification
Nice to have
- Experience in EdTech or adjacent domains with production education AI features
- Familiarity with agentic AI frameworks (LangChain, LlamaIndex, CrewAI)
- Background in learning science, educational psychology, or instructional design
- Experience with FERPA compliance and education-industry data handling
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist - Senior Manager- Consulting - Location OPEN
EY
Salem, OR
2026-05-21
Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI and Data - Data Scientist
Requirements
- PhD preferred in Computer Science, Machine Learning, Computational Linguistics, Statistics, Applied Mathematics, Operations Research, or a closely related quantitative field. Master's with exceptional… PhD preferred in Computer Science, Machine Learning, Computational Linguistics, Statistics, Applied Mathematics, Operations Research, or a closely related quantitative field. Master's with exceptional applied experience also considered.
- 12+ years of applied data science / ML experience, with at least 3 years in a senior technical leadership role.
- Demonstrable experience taking AI and ML systems from prototype to production - across multiple problem types (e.g., predictive modeling, NLP, retrieval / RAG, optimization, or agentic workflows).
- Hands-on proficiency in Python and the modern ML/AI stack (PyTorch, Hugging Face, scikit-learn, and at least one of LangChain / LangGraph or an equivalent agent / LLM framework).
What you'd do
- As a Senior Manager, Data Scientist, you will be a hands-on technical leader who shapes the data-science agenda across multiple workstreams. You will own technical direction, experimentation, and the … As a Senior Manager, Data Scientist, you will be a hands-on technical leader who shapes the data-science agenda across multiple workstreams. You will own technical direction, experimentation, and the path from prototype to production for the problems you take on. You will be expected to build, not just design and to lift the bar of the team around you.
- Lead data-science strategy and execution across multiple AI workstreams including agentic AI, the cognitive harness, memory and grounding, foundation-model applications, machine learning, optimization… Lead data-science strategy and execution across multiple AI workstreams including agentic AI, the cognitive harness, memory and grounding, foundation-model applications, machine learning, optimization, and applied analytics.
- Drive the applied-research and experimentation agenda long-context vs. retrieval trade-offs, hybrid search, reranking, evaluation design, model selection, fine-tuning, and emerging techniques as the field evolves.
- Design and contribute to the build of core platform components including elements of EY's cognitive harness (memory services, retrieval pipelines, grounding layers, evaluation harnesses) and other reu… Design and contribute to the build of core platform components including elements of EY's cognitive harness (memory services, retrieval pipelines, grounding layers, evaluation harnesses) and other reusable AI capabilities.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist - Fleet Analytics
The Hertz Corporation
Salem, OR
2026-05-21
Senior Data Scientist The Company Hertz is one of the largest global mobility organizations and is currently undergoing a significant digital transformation. Hertz is committed to becoming an essential component of the modern mobility ecosystem which includes leading in digital-first cus
Requirements
- 3-5 years hands-on experience in a data scientist role
- 3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python)
- 3+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and deployment)
- Demonstrated experience using machine learning to drive a business impact
What you'd do
- At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML min… At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML minds to join our Damage Science Team to help us develop and/or maintain capabilities. Examples of projects the team work on include the below:L
- Rationalize Repair Estimates and Invoices with Large Language Models (LLMs): Implement sophisticated LLMs to make intelligent repair routing decisions, ensuring repairs are conducted efficiently and cost-effectively.
- Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends.
- Optimize Decision Making: Create models to determine if we should keep/sell/salvage a vehicle.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist - Fleet Analytics
The Hertz Corporation
Boise, ID
2026-05-21
Senior Data Scientist The Company Hertz is one of the largest global mobility organizations and is currently undergoing a significant digital transformation. Hertz is committed to becoming an essential component of the modern mobility ecosystem which includes leading in digital-first cus
Requirements
- 3-5 years hands-on experience in a data scientist role
- 3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python)
- 3+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and deployment)
- Demonstrated experience using machine learning to drive a business impact
What you'd do
- At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML min… At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML minds to join our Damage Science Team to help us develop and/or maintain capabilities. Examples of projects the team work on include the below:L
- Rationalize Repair Estimates and Invoices with Large Language Models (LLMs): Implement sophisticated LLMs to make intelligent repair routing decisions, ensuring repairs are conducted efficiently and cost-effectively.
- Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends.
- Optimize Decision Making: Create models to determine if we should keep/sell/salvage a vehicle.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist, Manufacturing Analytics
Ford Motor Company
Salem, OR
2026-05-21
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Do you believe data tel
What you'd do
- Accelerate the application of value-added analytics and machine learning into the portfolio of products for Manufacturing Analytics.
- Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods.
- Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams.
- Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Applied Data Scientist
Eliassen Group
Salem, OR
2026-05-20
Senior Applied Data Scientist Anywhere Type: Contract Category: Data Industry: Retail Workplace Type: Remote Reference ID: JN -052026-106994 Date Posted: 05/17/2026 Shortcut: http://careers.eliassen.com/kCjb3j + Description + Recommended Jobs
Requirements
- Strong applied data science background, including optimization, forecasting, or prescriptive analytics in a business environment
- Proficient Python development skills with experience supporting or deploying models in production systems
- Strong SQL expertise, including complex query writing and performance tuning
What you'd do
- Design, develop, and own applied data science and optimization models supporting a pricing engine for products and services
- Apply prescriptive analytics, forecasting, and operations research techniques to pricing, discounting, and value optimization problems
- Translate business requirements into mathematical formulations and data-driven solutions with measurable business impact
- Operationalize and support models using production-quality Python development to deploy solutions into production environments
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Principal Product Manager, Data Science
Norstella
Salem, OR
2026-05-20
Principal Product Manager, Data Science Company: Norstella Location: Remote, United States Date Posted: May 19, 2026 Employment Type: Full Time Job ID: R-1967 Description Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patien
Requirements
- 6+ years of experience applying AI / ML to business applications and delivering data driven solutions.
- Proven track record of innovating on behalf of the customer in close collaboration with business teams and delivering revenue generating products into production.
- Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience.
- Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques.
What you'd do
- In this role as a Principal Product Manager, Data Science, you will:
- Collaborate with product leadership to identity, elaborate and prioritize projects.
- Partner with business-product managers to explore new opportunities to build customer facing capabilities with AI and build and maintain the data science project pipeline.
- Help define requirements and success metrics for identified projects and collaborate with data scientists and engineers to deliver on the commitments.
Nice to have
- Knowledge of the healthcare domain and experience with applying AI to healthcare data.
- Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake.
- Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Applied Data Scientist
Eliassen Group
Boise, ID
2026-05-20
Senior Applied Data Scientist Anywhere Type: Contract Category: Data Industry: Retail Workplace Type: Remote Reference ID: JN -052026-106994 Date Posted: 05/17/2026 Shortcut: http://careers.eliassen.com/kCjb3j + Description + Recommended Jobs
Requirements
- Strong applied data science background, including optimization, forecasting, or prescriptive analytics in a business environment
- Proficient Python development skills with experience supporting or deploying models in production systems
- Strong SQL expertise, including complex query writing and performance tuning
What you'd do
- Design, develop, and own applied data science and optimization models supporting a pricing engine for products and services
- Apply prescriptive analytics, forecasting, and operations research techniques to pricing, discounting, and value optimization problems
- Translate business requirements into mathematical formulations and data-driven solutions with measurable business impact
- Operationalize and support models using production-quality Python development to deploy solutions into production environments
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Principal Product Manager, Data Science
Norstella
Boise, ID
2026-05-20
Principal Product Manager, Data Science Company: Norstella Location: Remote, United States Date Posted: May 19, 2026 Employment Type: Full Time Job ID: R-1967 Description Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patien
Requirements
- 6+ years of experience applying AI / ML to business applications and delivering data driven solutions.
- Proven track record of innovating on behalf of the customer in close collaboration with business teams and delivering revenue generating products into production.
- Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience.
- Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques.
What you'd do
- In this role as a Principal Product Manager, Data Science, you will:
- Collaborate with product leadership to identity, elaborate and prioritize projects.
- Partner with business-product managers to explore new opportunities to build customer facing capabilities with AI and build and maintain the data science project pipeline.
- Help define requirements and success metrics for identified projects and collaborate with data scientists and engineers to deliver on the commitments.
Nice to have
- Knowledge of the healthcare domain and experience with applying AI to healthcare data.
- Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake.
- Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Lead Data Scientist - Forecasting
CVS Health
Salem, OR
2026-05-20
We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in e
Requirements
- Master'sdegree in Statistics, Mathematics, Computer Science, Engineering, Economics, or relatedquantitative field(PhD preferred)
- 7+ years of experience in forecasting or demand modeling,ideally in a retail or B2C environmentincludinghands-ondeploying enterprise-levelproduction forecasting systems with measurable impact
- 3+ years of experienceworking with a data engineering/MLOpsteam toproductionizedata science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.)
- 4+ years of experience with Python and SQL for large-scale data processing
What you'd do
- The Forecasting Center of Excellence (COE) at CVS Health builds scalable forecasting systems that support pricing, promotions, and assortment decisions across the retail business. As a Lead Data Scien… The Forecasting Center of Excellence (COE) at CVS Health builds scalable forecasting systems that support pricing, promotions, and assortment decisions across the retail business. As a Lead Data Scientist, you will own how demand is modeled and used for decision-making, not just how it is predicted.
- This role focuses on defining and scaling a unified forecasting framework that produces consistent outputs across use cases. You will work with data science, engineering, product management, software … This role focuses on defining and scaling a unified forecasting framework that produces consistent outputs across use cases. You will work with data science, engineering, product management, software development, and business teams to ensure forecasts are not just accurate, but stable, and usable in real decision workflows.
- *In this role, you will have the opportunity to:
- Own thedesign andevolutionof a unified forecastingarchitecture, defininghow demand is constructed
Nice to have
- Experience applyingdemandforecastingmethodsin a retail environment
- In depthunderstandingof merchandising concepts and metrics
- Experience managing large scale projects and working with multiple stakeholders in a matrixed environment
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
AI and Machine Learning Assistant Professor/Professional Pra
UTAH STATE UNIVERSITY
Logan, UT
2026-05-18
AI and Machine Learning Assistant Professor/Professional Practice Assistant Professor Requisition ID: 2024-8433 # of Openings: 2 Location: US-UT-Logan Category: Faculty Position Type: Benefited Full-Time Job Classification: Faculty College: College of Engineering Department: Electric
Requirements
- An earned doctorate degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or a closely related discipline.
- An ability to conduct and disseminate research that applies AI/ML to problems in the electrical engineering domain.
- An ability to develop courses in AI/ML and effectively teach undergraduate and graduate level courses in AI/ML and the candidate's specific area of research emphasis in accordance with departmental needs.
- An ability to apply for and secure ongoing external funding.
What you'd do
- Successful candidates for the tenure-track position will be expected to develop an externally funded research program that includes peer-reviewed publications and graduate student mentorship. Both ten… Successful candidates for the tenure-track position will be expected to develop an externally funded research program that includes peer-reviewed publications and graduate student mentorship. Both tenure-track and professional practice positions are expected to effectively teach undergraduate and graduate courses, actively participate in assigned department and university duties, and serve their professional society. Ideal candidates will have an interest in developing new courses and degree programs in AI/ML and its applications to engineering.
Nice to have
- Preference will be given to candidates with experience building and deploying AI/ML systems.
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Clinical Data Scientist
Baylor Scott & White Health
Salem, OR
2026-05-16
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.