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 2 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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Software Developers (514)
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18/19
tasks
Senior Biostatistician | School of Medicine - Pediatrics, Innovation Research
Emory Healthcare/Emory University
Atlanta, GA
2026-05-13
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
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.
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
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.
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
Senior Data Scientist
Fiserv
Alpharetta, GA
2026-05-13
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta
Atlanta, GA
2026-05-13
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Intern, Fall 2026 (Internship) - 4 months
BMO Financial Group
Chicago, IL
2026-05-13
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta
Springfield, IL
2026-05-13
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Sr. Manager , Annapurna Labs - Cloud Scale Machine Learning Acceleration Team
Amazon
Tempe, AZ
2026-05-13
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta
Phoenix, AZ
2026-05-13
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist - INTL India - 99c1e7e0
Insight Global
Tempe, AZ
2026-05-13
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist
Nelnet
Springfield, IL
2026-05-12
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist
Nelnet
Phoenix, AZ
2026-05-12
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist/Statistician
Intel
Phoenix, AZ
2026-05-12
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist/Sr Data Scientist, IT Analytics
American Airlines
Phoenix, AZ
2026-05-12
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist
Nelnet
Pierre, SD
2026-05-12
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist
Nelnet
Sioux Falls, SD
2026-05-12
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist
Nelnet
Aberdeen, SD
2026-05-12
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Machine Learning Engineer
Apex Systems
Chicago, IL
2026-05-11
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
AI & GenAI Data Scientist - EUR- Director
PwC
Rosemont, IL
2026-05-10
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
AI & GenAI Data Scientist - EUR- Director
PwC
Chicago, IL
2026-05-10
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
AI & GenAI Data Scientist - EUR- Director
PwC
Phoenix, AZ
2026-05-10
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior AI/ML Engineer
General Motors
Pierre, SD
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Technical Project Manager - Machine Learning & Data Science
Cadmus
Springfield, IL
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Manager, Data Science - Model Risk Office
Capital One
Chicago, IL
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Manager, Data Science - Credit Review
Capital One
Riverwoods, IL
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior AI/ML Engineer
General Motors
Springfield, IL
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Principal Data Scientist
Maximus
Springfield, IL
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Manager, Data Scientist - US Card DFS Acquisitions
Capital One
Chicago, IL
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
AI/ML Engineer - Remote
UnitedHealth Group
Schaumburg, IL
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Technical Project Manager - Machine Learning & Data Science
Cadmus
Phoenix, AZ
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior AI/ML Engineer
General Motors
Phoenix, AZ
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Principal Data Scientist
Maximus
Phoenix, AZ
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Technical Project Manager - Machine Learning & Data Science
Cadmus
Pierre, SD
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Principal Data Scientist
Maximus
Pierre, SD
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Senior Data Scientist
Loyola University Chicago
Chicago, IL
2026-05-08
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 Engineer / Data Scientist, AI Sr. Manager
PwC
Chicago, IL
2026-05-08
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
Sedgwick
Tucson, AZ
2026-05-08
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
Sedgwick
Phoenix, AZ
2026-05-08
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
Sedgwick
Flagstaff, AZ
2026-05-08
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
Sedgwick
Pierre, SD
2026-05-08
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
Sedgwick
Rapid City, SD
2026-05-08
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
Sedgwick
Sioux Falls, SD
2026-05-08
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, Emerging Technology and Innovation
The Hartford
Chicago, IL
2026-05-07
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 Machine Learning Engineer
The Hartford
Chicago, IL
2026-05-07
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 Machine Learning Engineer
Capital One
Chicago, IL
2026-05-07
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
INTL - Remote Sr. Machine Learning Systems Engineer - LATAM
Insight Global
Chicago, IL
2026-05-07
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.