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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Software Developers (492)
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12/12
tasks
Mathematics Teacher - Grade 6, 1.0 FTE (2026-2027)
Eden Prairie Schools
Eden Prairie, MN
2026-05-02
Tasks you're prepared for
(12 of 12 for Mathematicians)
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
+7 more covered tasks
18/19
tasks
Biostatistician - Academic Research
Sanford Health
Fargo, ND
2026-05-06
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Biostatistician - Academic Research
Sanford Health
Sioux Falls, SD
2026-05-06
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
18/19
tasks
Assistant Scientist - Clinical Biostatistician
Sanford Health
Fargo, ND
2026-04-22
Tasks you're prepared for
(18 of 19 for Statisticians)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
+13 more covered tasks
Tasks you'd need to develop
(1)
Supervise and provide instructions for workers collecting and tabulating data. (importance 3.0/5)
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist
SAIC
Huntsville, AL
2026-05-13
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Grad Degree Intern (GIH Research - Data Science)
Mayo Clinic
Rochester, MN
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 III
RELX INC
Saint Paul, MN
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 III
RELX INC
Minneapolis, MN
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
Love's Travel Stops & Country Stores
Oklahoma City, OK
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
Actalent
Birmingham, AL
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist Specialist
3M
Maplewood, MN
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
Associate Data Science Analyst - AI Program
Mayo Clinic
Rochester, MN
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
Associate AI/ML Engineer - AI Program
Mayo Clinic
Rochester, MN
2026-05-09
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Scientist
Sedgwick
Birmingham, AL
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
Montgomery, AL
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
Mobile, AL
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
Southaven, MS
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
Biloxi, MS
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
Jackson, MS
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 II (Remote)
Kohl's
Menomonee Falls, WI
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
Milwaukee, WI
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
Madison, WI
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
Wausau, WI
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
Oklahoma City, OK
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
Tulsa, OK
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
Bartlesville, OK
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
Data Scientist
Sedgwick
Fargo, ND
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
Bismarck, ND
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-DIRECT HIRE AUTHORITY
U.S. Air Force - Agency Wide
Oklahoma City, OK
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
Machine Learning Engineer III
Indeed
Huntsville, AL
2026-05-06
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer III
Indeed
Jackson, MS
2026-05-06
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer III
Indeed
Milwaukee, WI
2026-05-06
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer III
Indeed
Saint Paul, MN
2026-05-06
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer III
Indeed
Oklahoma City, OK
2026-05-06
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer III
Indeed
Sioux Falls, SD
2026-05-06
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer III
Indeed
Bismarck, ND
2026-05-06
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Data Science Consultant
Deloitte
Minneapolis, MN
2026-05-05
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer
Indeed
Huntsville, AL
2026-04-23
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer
Indeed
Jackson, MS
2026-04-23
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer
Indeed
Oklahoma City, OK
2026-04-23
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer
Indeed
Sioux Falls, SD
2026-04-23
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer
Indeed
Bismarck, ND
2026-04-23
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer
Indeed
Huntsville, AL
2026-04-16
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer
Indeed
Jackson, MS
2026-04-16
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer
Indeed
Oklahoma City, OK
2026-04-16
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer
Indeed
Sioux Falls, SD
2026-04-16
Tasks you're prepared for
(15 of 16 for Data Scientists)
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
+10 more covered tasks
Tasks you'd need to develop
(1)
Recommend data-driven solutions to key stakeholders.
These could be filled by an applied project, elective, or internship — see the program page for examples.
15/16
tasks
Machine Learning Engineer
Indeed
Bismarck, ND
2026-04-16
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.