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    This is an interdisciplinary Student Trainee (Data Scientist) position for use in any one of the program offices across the Foundation, with responsibility for data science work to design, develop, and adapt analytic and quantitative methods and techniques to research, analyze, interpret, evaluate assignments to enhance the mission and increase the efficiency and effectiveness of NSF programs.

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    As a Student Trainee (Data Scientist) you will:

    • Conduct statistical analysis, modeling, and simulation to identify efficiencies in NSF programs and operations by researching, analyzing, interpreting, and evaluating difficult, but well precedented assignments.
    • Develop analytical approaches and analyzes data of qualitative, quantitative, structured, and data types using established techniques to select and modify appropriate methods of operation, analyze, and interpret results, and prepare reports.
    • Develop and monitor the application of models, tools, risk, and decision science techniques, operations research, mathematics, statistics, computer, and information sciences, economics, and related fields (e.g., quantitative policy analysis, data science, etc.) to develop and enhance NSF analytic capabilities under the guidance of a higher graded employee.
    • Manipulate existing databases using a relational database management system (Oracle, Microsoft Access, MySQL, SQL Server, VBA, Python, R, Tableau, Qlik, JavaScript, etc.) and information technology to accomplish projects, designs, plans, and reports under the guidance of a higher graded employee.

    • Data Wrangling
    • Data Visualization
    • Mathematical Reasoning
    • Communicating Results
    • Oral Communication
    • Written Communication

    Travel Required

    Not required

    Supervisory status


    Promotion Potential

    09 - This position has a full performance level of GS-9

This job originated on www.usajobs.gov. For the full announcement and to apply, visit www.usajobs.gov/GetJob/ViewDetails/605309200. Only resumes submitted according to the instructions on the job announcement listed at www.usajobs.gov will be considered.