Data Scientist (Recent Graduate)

As a Data Scientist (Recent Graduate) some of your typical work assignments include: Developing and maintaining data pipelines using SQL/T-SQL, Python, R, Databricks, or Synapse. Using Power BI, R, Python, SQL to analyze data and implement quality control checks. Using GitHub for version control and collaborate with teammates.

Clearly presenting findings orally and in writing. The FERC Recent Graduate Program is a two-year development program for entry-level employees. You may be eligible for conversion to a permanent or term (1 - 4 years in duration) position once you complete the program, without further competition.

Eligibility: In order to be eligible for our Recent Graduates Program, you must: Be a recent graduate who has completed, within the last two years, a qualifying associates, bachelors, masters, professional, doctorate, vocational, or technical degree or certificate from a qualifying educational institution; AND Meet the qualification standards (e.g., series and grade).

Veterans unable to apply within two years of receiving their degree, due to military service obligations, have as much as six years after degree completion to apply. You must meet the qualification (experience and/or education) and eligibility requirements by the closing date of this announcement.

To view the eligibility and qualification requirements of a/n Data Scientist (Recent Graduate), GS-1560, please visit: Data Scientist For the GS-07: In addition to the education required for this position, you must have one full year of specialized experience at or equivalent to the GS-05 level.

Specialized experience is defined as: assisting in the aggregation and cleaning of data from multiple sources using Python, R, or SQL to support the development of standardized datasets for analysis.

For the GS-09: In addition to the education required for this position, you must have one full year of specialized experience at or equivalent to the GS-07 level.

Specialized experience is defined as: Extracting, aggregating, and cleaning complex data from relational databases via Python, R, or SQL to create standardized datasets for further analysis.

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.