Data Scientist (Recent Graduate)

Federal Energy Regulatory CommissionDistrict of Columbia, District of Columbia, Washington, District of Columbiausajobspublicēts 08.09.2026
Obligāti:PythonGitDataSeniorPrincipal

The Federal Energy Regulatory Commission (FERC) is ranked within the top 5 mid-size agencies as a "Best Place to Work" in the Federal government! This Data Scientist position is located in the Office of Enforcement and Regulatory Accounting. For more information visit: Office of Enforcement and Regulatory Accounting (OERA)

Major duties

As a Data Scientist some of your typical work assignments include: Develop and maintain data pipelines using SQL/T-SQL, Python, R, Databricks, or Synapse. Use Power BI, R, Python, SQL to analyze data and implement quality control checks. Use GitHub for version control and to collaborate with teammates. Clearly present findings, approach, and processes to the team, the Division, or management orally and/or in writing.

Qualifications

You must meet the qualification (experience and/or education) requirements by the closing date of this announcement. To view the eligibility and qualification requirements of a Data Scientist, GS-1560, please visit: Data Scientist, 1560 GS-11 In addition to the education required for this position, you must have one full year of specialized experience at or equivalent to the GS-09 level. Specialized experience is defined as: experience independently extracting, transforming, and integrating complex, multi-source datasets using Python, R, or SQL; developing reproducible data pipelines; and applying statistical or analytical techniques to produce and present insights, visualizations, and models that inform organizational decision making. GS-12 In addition to the education required for this position, you must have one full year of specialized experience at or equivalent to the GS-11 level. Specialized experience is defined as: experience designing and implementing automated data workflows and analytical products using Python, R, or SQL; integrating and validating large, complex, structured, and unstructured data from numerous internal and external sources; developing advanced data visualizations, statistical analyses, and models; and translating analytical results into actionable recommendations for senior staff or program stakeholders, both orally and in writing. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including any volunteer experience. Please do not cut and paste the "Duties" section, specialized experience statement, or occupational assessment questionnaire from this announcement into your resume, as this will not be considered a demonstration of your qualifications for this position.

Education

This position has an education requirement and therefore, transcripts are required. Failure to submit a copy of your transcripts at the time of application will result in your application being marked incomplete and you will not receive further consideration. PASS/FAIL COURSES: If more than 10 percent of your undergraduate course work (credit hours) were taken on a pass/fail basis, your claim of superior academic achievement must be based upon class standing or membership in an honor society. GRADUATE EDUCATION: One academic year of graduate education is the number of credits hours your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.