Skip to main content

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 4 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).
Entry-level only Show 9528 senior-level
Looking in: All US WA (2449) ID (391) MT (368) OR (315) AL (293) CO (274) NM (260) AZ (230) NE (228) UT (222) AR (214) OK (190) MN (184) ND (181) SD (180) KS (175) MO (166) MS (164) WI (163) WY (161) TN (160) IL (159) TX (155) NV (152) IA (149) LA (148) KY (138) CA (117) GA (28) NC (10) reset
Occupations: All Software Developers (254) Network and Computer Systems Administrators (161) Information Security Analysts (52) Data Scientists (44) Management Analysts (40) Software Quality Assurance Analysts and Testers (39) Business Intelligence Analysts (29) Computer Network Architects (23)
18/19
tasks
Biostatistician - Academic Research
Sanford Health Sioux Falls, SD 2026-05-06
Statisticians CSCD 210 CSCD 300 CSCD 429 CSCD 484 +8 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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 (MMM)
FocusKPI Inc. Bentonville, AR 2026-05-13
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Uniti Little Rock, AR 2026-05-12
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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 Little Rock, AR 2026-05-08
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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 Little Rock, AR 2026-05-06
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Distinguished Data Scientist: Associate AI Experience
Walmart Bentonville, AR 2026-04-24
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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 Little Rock, AR 2026-04-23
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
State of Arkansas Little Rock, AR 2026-04-22
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
(USA) Distinguished, Data Scientist
Walmart Bentonville, AR 2026-04-18
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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 Little Rock, AR 2026-04-16
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Arkansas Employer Little Rock, AR 2026-04-16
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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 (5190)
SMX Montgomery, AL 2026-04-09
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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 (5190)
SMX Little Rock, AR 2026-04-09
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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 (5190)
SMX Pierre, SD 2026-04-09
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Operations Research Analyst / Data Scientist (Remote)
GovCIO Little Rock, AR 2026-04-08
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Operations Research Analyst / Data Scientist (Remote)
GovCIO Pierre, SD 2026-04-08
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Indeed Little Rock, AR 2026-04-07
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Indeed Sioux Falls, SD 2026-04-07
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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 Agent ML Engineer
Bausch + Lomb Little Rock, AR 2026-04-03
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Actuarial and Data Science Model Validation
The Hartford Little Rock, AR 2026-04-01
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Actuarial and Data Science Model Validation
The Hartford Pierre, SD 2026-04-01
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
(USA) Data Scientist III
Walmart Bentonville, AR 2026-03-17
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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 Agent ML Engineer
Bausch + Lomb Pierre, SD 2026-01-27
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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, Analytics (Technical Leadership)
Meta Pierre, SD 2025-09-18
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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, Analytics (Technical Leadership)
Meta Pierre, SD 2025-09-18
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Software Engineer, Machine Learning
Meta Pierre, SD 2025-07-19
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Software Engineer, Machine Learning
Meta Pierre, SD 2025-07-19
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Software Engineer, Machine Learning
Meta Pierre, SD 2025-06-27
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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
Software Engineer, Machine Learning
Meta Pierre, SD 2025-06-27
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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, Product Analytics
Meta Pierre, SD 2024-12-05
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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, Product Analytics
Meta Pierre, SD 2024-12-05
Data Scientists CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
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.

12/17
tasks
Modeling and Simulation / Operations Research Analyst, Intermediate
The MITRE Corporation Huntsville, AL 2026-05-08
Operations Research Analysts CSCD 210 CSCD 300 CSCD 429 CSCD 484 +10 more
Tasks you're prepared for (12 of 17 for Operations Research Analysts)
  • Present the results of mathematical modeling and data analysis to management or other end users.
  • Define data requirements, and gather and validate information, applying judgment and statistical tests.
  • Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
  • Prepare management reports defining and evaluating problems and recommending solutions.
    via MATH 491
  • Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
    via CSCD 210
+7 more covered tasks
Tasks you'd need to develop (5)
Analyze information obtained from management to conceptualize and define operational problems. (importance 4.3/5)
Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes. (importance 4.3/5)
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives. (importance 4.2/5)

These could be filled by an applied project, elective, or internship — see the program page for examples.

8/18
tasks
Database Engineer I
Renaissance Montgomery, AL 2026-05-07
Database Administrators CSCD 210 CSCD 300 CSCD 429 CSCD 484 +3 more
Tasks you're prepared for (8 of 18 for Database Administrators)
  • Plan, coordinate, and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification or disclosure.
  • Test programs or databases, correct errors, and make necessary modifications.
    via CSCD 210
  • Train users and answer questions.
    via CSCD 484
  • Develop standards and guidelines for the use and acquisition of software and to protect vulnerable information.
    via MATH 491
  • Write and code logical and physical database descriptions and specify identifiers of database to management system, or direct others in coding descriptions.
    via CSCD 300
+3 more covered tasks
Tasks you'd need to develop (10)
Modify existing databases and database management systems or direct programmers and analysts to make changes. (importance 4.0/5)
Plan and install upgrades of database management system software to enhance database performance. (importance 3.9/5)
Specify users and user access levels for each segment of database. (importance 3.8/5)

These could be filled by an applied project, elective, or internship — see the program page for examples.

8/18
tasks
Database Engineer I
Renaissance Little Rock, AR 2026-05-07
Database Administrators CSCD 210 CSCD 300 CSCD 429 CSCD 484 +3 more
Tasks you're prepared for (8 of 18 for Database Administrators)
  • Plan, coordinate, and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification or disclosure.
  • Test programs or databases, correct errors, and make necessary modifications.
    via CSCD 210
  • Train users and answer questions.
    via CSCD 484
  • Develop standards and guidelines for the use and acquisition of software and to protect vulnerable information.
    via MATH 491
  • Write and code logical and physical database descriptions and specify identifiers of database to management system, or direct others in coding descriptions.
    via CSCD 300
+3 more covered tasks
Tasks you'd need to develop (10)
Modify existing databases and database management systems or direct programmers and analysts to make changes. (importance 4.0/5)
Plan and install upgrades of database management system software to enhance database performance. (importance 3.9/5)
Specify users and user access levels for each segment of database. (importance 3.8/5)

These could be filled by an applied project, elective, or internship — see the program page for examples.

8/18
tasks
Database Engineer I
Renaissance Sioux Falls, SD 2026-05-07
Database Administrators CSCD 210 CSCD 300 CSCD 429 CSCD 484 +3 more
Tasks you're prepared for (8 of 18 for Database Administrators)
  • Plan, coordinate, and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification or disclosure.
  • Test programs or databases, correct errors, and make necessary modifications.
    via CSCD 210
  • Train users and answer questions.
    via CSCD 484
  • Develop standards and guidelines for the use and acquisition of software and to protect vulnerable information.
    via MATH 491
  • Write and code logical and physical database descriptions and specify identifiers of database to management system, or direct others in coding descriptions.
    via CSCD 300
+3 more covered tasks
Tasks you'd need to develop (10)
Modify existing databases and database management systems or direct programmers and analysts to make changes. (importance 4.0/5)
Plan and install upgrades of database management system software to enhance database performance. (importance 3.9/5)
Specify users and user access levels for each segment of database. (importance 3.8/5)

These could be filled by an applied project, elective, or internship — see the program page for examples.

8/18
tasks
Oracle Database Administrator
Southern Company Birmingham, AL 2026-05-06
Database Administrators CSCD 210 CSCD 300 CSCD 429 CSCD 484 +3 more
Tasks you're prepared for (8 of 18 for Database Administrators)
  • Plan, coordinate, and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification or disclosure.
  • Test programs or databases, correct errors, and make necessary modifications.
    via CSCD 210
  • Train users and answer questions.
    via CSCD 484
  • Develop standards and guidelines for the use and acquisition of software and to protect vulnerable information.
    via MATH 491
  • Write and code logical and physical database descriptions and specify identifiers of database to management system, or direct others in coding descriptions.
    via CSCD 300
+3 more covered tasks
Tasks you'd need to develop (10)
Modify existing databases and database management systems or direct programmers and analysts to make changes. (importance 4.0/5)
Plan and install upgrades of database management system software to enhance database performance. (importance 3.9/5)
Specify users and user access levels for each segment of database. (importance 3.8/5)

These could be filled by an applied project, elective, or internship — see the program page for examples.