Job Matches
Washington job postings for occupations your coursework prepares you for. Sorted by how many of the occupation's tasks your 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.
- 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.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Write, analyze, review, and rewrite programs, using workflow chart and diagram, and applying knowledge of computer capabilities, subject matter, and symbolic logic.
- Correct errors by making appropriate changes and rechecking the program to ensure that the desired results are produced.
-
Perform or direct revision, repair, or expansion of existing programs to increase operating efficiency or adapt to new requirements.
via CSCD 210
-
Consult with managerial, engineering, and technical personnel to clarify program intent, identify problems, and suggest changes.
via CSCD 210
- Conduct trial runs of programs and software applications to be sure they will produce the desired information and that the instructions are correct.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Write, analyze, review, and rewrite programs, using workflow chart and diagram, and applying knowledge of computer capabilities, subject matter, and symbolic logic.
- Correct errors by making appropriate changes and rechecking the program to ensure that the desired results are produced.
-
Perform or direct revision, repair, or expansion of existing programs to increase operating efficiency or adapt to new requirements.
via CSCD 210
-
Consult with managerial, engineering, and technical personnel to clarify program intent, identify problems, and suggest changes.
via CSCD 210
- Conduct trial runs of programs and software applications to be sure they will produce the desired information and that the instructions are correct.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Write, analyze, review, and rewrite programs, using workflow chart and diagram, and applying knowledge of computer capabilities, subject matter, and symbolic logic.
- Correct errors by making appropriate changes and rechecking the program to ensure that the desired results are produced.
-
Perform or direct revision, repair, or expansion of existing programs to increase operating efficiency or adapt to new requirements.
via CSCD 210
-
Consult with managerial, engineering, and technical personnel to clarify program intent, identify problems, and suggest changes.
via CSCD 210
- Conduct trial runs of programs and software applications to be sure they will produce the desired information and that the instructions are correct.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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
These could be filled by an applied project, elective, or internship — see the program page for examples.
- 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
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
-
Develop and document database architectures.
via CSCD 300
-
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
via CSCD 485
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
-
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
via MATH 241
These could be filled by an applied project, elective, or internship — see the program page for examples.