Student Trainee (Data Scientist), GS-1599-7/9

This is a paid internship opportunity under the Pathways Internship Program which provides students opportunities to work in agencies and explore Federal careers.

At the National Science Foundation, you not only get a great place to work but you also have the chance to become part of cutting-edge innovation and discovery that is changing the world. Gain real-life experiences while expanding the frontiers of Science. Discover what your future could hold at the National Science Foundation.

Qualifications:

Applicants must be enrolled at least half-time in an accredited academic institution and have a 2.5 GPA or higher to be eligible for a Pathways Internship Appointment.

In addition to the above appointment requirements, see below qualification requirements:

To qualify at the GS-7 level, you must have one (1) year of specialized experience equivalent to the GS-05 level in the Federal service analyzing qualitative, quantitative, and structured data.
OR
Have a bachelor's degree in Mathematics, statistics, computer science, data science, or a field directly related and have Superior Academic Achievement (as evidenced by class standing in the upper third of the graduating class; 3.0 grade point average on a 4.0 scale for all academic work; grade point average of 3.5 on a 4.0 scale in the major field of study; or election to membership in a national honor scholastic society.
OR
Have at least one year of progressively higher graduate level (12 semester hours) education in Mathematics, statistics, computer science, data science, or a field directly related;
OR
Have combinations of successfully completed graduate-level education and specialized experience that meets the total experience requirements

Examples of specialized experience for the GS-7 level include: performing routine, scientific, or technical tasks and projects; planning and collaborating with stakeholders and customers to identify the appropriate data, methodological approach, and design for a variety of data science and/or analytics projects.

To qualify at the GS-9 level, you must have at least one (1) year of specialized experience equivalent to the GS-07 level in the Federal service analyzing, interpreting, and correlating qualitative, quantitative, and structured data.
OR
A Master's degree in Mathematics, statistics, computer science, data science, or a field directly related;
OR
Completion of at least 2 years of graduate education in an accredited college or university in Mathematics, statistics, computer science, data science, or a field directly related;
OR
Combinations of successfully completed graduate level education and specialized experience that meets the total experience requirements.

Examples of specialized experience for the GS-9 level include: applying project management principles; performing routine, scientific, or technical tasks and projects; using and manipulating existing databases and relational database systems; collaborating with teammates, customers, and stakeholders in a reproducible and organized manner.

Experience refers to paid & unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) & other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills & can provide valuable training & experience that translates to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Responsibilities:

As a Student Trainee (Data Scientist), GS-1599-7/9, you will perform the following duties:

• 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.