Data Scientist

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.

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.