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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 2026-10-02. Scraper last re-confirmed a WA posting 2026-10-02 11:22.
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12/12
tasks
Associate Researcher I - Microbiology
Mount Sinai Health System New York, NY 2026-09-12
Mathematicians CSCD 210 CSCD 300 CSCD 429 CSCD 484 +11 more
Tasks you're prepared for (12 of 12 for Mathematicians)
  • Mentor others on mathematical techniques.
  • Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
  • Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
  • Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
    via MATH 491
  • Assemble sets of assumptions, and explore the consequences of each set.
+7 more covered tasks
12/12
tasks
Researcher I
UW-MADISON Madison, WI 2026-09-11
Mathematicians CSCD 210 CSCD 300 CSCD 429 CSCD 484 +11 more
Tasks you're prepared for (12 of 12 for Mathematicians)
  • Mentor others on mathematical techniques.
  • Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
  • Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
  • Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
    via MATH 491
  • Assemble sets of assumptions, and explore the consequences of each set.
+7 more covered tasks
12/12
tasks
Associate Researcher II (Dr Raj's Lab) - Neurosciences
Mount Sinai Health System New York, NY 2026-09-11
Mathematicians CSCD 210 CSCD 300 CSCD 429 CSCD 484 +11 more
Tasks you're prepared for (12 of 12 for Mathematicians)
  • Mentor others on mathematical techniques.
  • Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
  • Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
  • Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
    via MATH 491
  • Assemble sets of assumptions, and explore the consequences of each set.
+7 more covered tasks
12/12
tasks
Researcher
NBC Universal New York, NY 2026-09-10
Mathematicians CSCD 210 CSCD 300 CSCD 429 CSCD 484 +11 more
Tasks you're prepared for (12 of 12 for Mathematicians)
  • Mentor others on mathematical techniques.
  • Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
  • Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
  • Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
    via MATH 491
  • Assemble sets of assumptions, and explore the consequences of each set.
+7 more covered tasks
12/12
tasks
Associate Researcher (Part Time) - Environmental Medicine
Mount Sinai Health System New York, NY 2026-09-04
Mathematicians CSCD 210 CSCD 300 CSCD 429 CSCD 484 +11 more
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
Statistical Analyst (Hybrid)
AbbVie North Chicago, IL 2026-09-10
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.

18/19
tasks
Statistical Analyst (Hybrid)
AbbVie Florham Park, NJ 2026-09-10
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.

18/19
tasks
Senior Research Statistician - Immunology
AbbVie North Chicago, IL 2026-09-09
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.

18/19
tasks
Senior Clinical Analyst (Cardiac Services) - Senior Product Services & Management Analyst
Northwell Health Melville, NY 2026-09-09
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.

18/19
tasks
Research Statistician I
The College Board New York, NY 2026-09-07
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.

18/19
tasks
Data Coordinator - Medical Records
Catholic Health Services Melville, NY 2025-12-17
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
Senior Data Scientist
AbbVie North Chicago, IL 2026-09-15
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
Senior Data Scientist (Remote)
GovCIO Madison, WI 2026-09-15
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, Research Intern, PhD, Summer 2027
Google Madison, WI 2026-09-15
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 Intern, MS, Summer 2027
Google Madison, WI 2026-09-15
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
Help at Home Madison, WI 2026-09-15
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
OXFORD GLOBAL RESOURCES INC Milwaukee, WI 2026-09-12
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 Science Intern, Algorithms (Summer 2027)
Lyft New York, NY 2026-09-12
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
Canon USA & Affiliates Melville, NY 2026-09-11
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
Lead Data Scientist, Justice Services
City of New York New York, NY 2026-09-10
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
Lead Data Scientist, Justice Processes
City of New York New York, NY 2026-09-10
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, Data Science Team
The College Board New York, NY 2026-09-10
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
ExodusPoint Capital Management, LP New York, NY 2026-09-10
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 Science Engineer
Adobe Inc. New York, NY 2026-09-10
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 Senior Associate
KPMG LLP New York, NY 2026-09-08
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
Senior Data Scientist
Superscript, Inc. New York, NY 2026-09-07
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
Senior Data Scientist (Remote)
Maximus Madison, WI 2026-09-05
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
Senior Data Scientist (Remote)
Maximus Albany, NY 2026-09-05
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
Senior Data Scientist
MCKINSEY AND COMPANY INC New York, NY 2026-09-05
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, Operations Research
Cardinal Health Madison, WI 2026-09-04
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, Operations Research
Cardinal Health Albany, NY 2026-09-04
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
TEKsystems New York, NY 2026-09-04
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
Sr. Data Scientist - Optimization
Amcor Neenah, WI 2026-09-01
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
Data Scientist
ManpowerGroup Milwaukee, WI 2026-08-30
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
Senior Data Scientist (AI Evaluation & Improvement)
Evolent Albany, NY 2026-08-29
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
Lead Data Scientist - Autonomous Goal Management
Humana Albany, NY 2026-08-22
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
Data Scientist
CANON U.S.A.INC Melville, NY 2026-08-18
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
Senior Data Scientist
Accenture Albany, NY 2026-08-11
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
Senior Data Scientist, CX Analytics
Coinbase Albany, NY 2026-08-07
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
Machine Learning Senior Software Engineer
Akamai Technologies, Inc. Albany, NY 2026-08-07
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 (Remote)
Maximus Albany, NY 2026-08-07
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 (Remote)
Maximus Albany, NY 2026-08-07
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
ManpowerGroup Chester, NY 2026-08-06
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
Data Scientist
Mediacom Blooming Grove, NY 2026-08-06
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
Data Scientist - Analytics as a Service
Ralliant Fairport, NY 2026-07-23
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
REMOTE- Data Scientist
Insight Global Chemung, NY 2026-07-10
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
UL, LLC Melville, NY 2026-07-03
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.

23/25
tasks
Biostatistician, Research - Clinical Trials, Full Time, Day
THE VALLEY HOSPITAL INC Paramus, NJ 2026-09-10
Biostatisticians CSCD 210 CSCD 300 CSCD 429 CSCD 484 +6 more
Tasks you're prepared for (23 of 25 for Biostatisticians)
  • Draw conclusions or make predictions, based on data summaries or statistical analyses.
  • Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
    via MATH 485
  • Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
    via MATH 491
  • Calculate sample size requirements for clinical studies.
  • Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
    via MATH 491
+18 more covered tasks
Tasks you'd need to develop (2)
Design surveys to assess health issues. (importance 3.3/5)
Teach graduate or continuing education courses or seminars in biostatistics. (importance 3.3/5)

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

23/25
tasks
Senior Principal Biostatistician
Edwards Lifesciences Madison, WI 2026-09-02
Biostatisticians CSCD 210 CSCD 300 CSCD 429 CSCD 484 +6 more
Tasks you're prepared for (23 of 25 for Biostatisticians)
  • Draw conclusions or make predictions, based on data summaries or statistical analyses.
  • Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
    via MATH 485
  • Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
    via MATH 491
  • Calculate sample size requirements for clinical studies.
  • Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
    via MATH 491
+18 more covered tasks
Tasks you'd need to develop (2)
Design surveys to assess health issues. (importance 3.3/5)
Teach graduate or continuing education courses or seminars in biostatistics. (importance 3.3/5)

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

23/25
tasks
Senior Principal Biostatistician
Edwards Lifesciences Albany, NY 2026-09-02
Biostatisticians CSCD 210 CSCD 300 CSCD 429 CSCD 484 +6 more
Tasks you're prepared for (23 of 25 for Biostatisticians)
  • Draw conclusions or make predictions, based on data summaries or statistical analyses.
  • Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
    via MATH 485
  • Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
    via MATH 491
  • Calculate sample size requirements for clinical studies.
  • Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
    via MATH 491
+18 more covered tasks
Tasks you'd need to develop (2)
Design surveys to assess health issues. (importance 3.3/5)
Teach graduate or continuing education courses or seminars in biostatistics. (importance 3.3/5)

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