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Data Scientist

2 months ago

Washington, United States USA Jobs Full time

Duties The Division of Analytics and Surveillance (DAS) in the FERC Office of Enforcement (OE) is seeking a motivated and skilled data engineer/data scientist to fill a role in our Data and Technology Branch. Leverage your skills in SQL, Python, R, and other programming languages to help your team build a data warehouse that drives DAS' wholesale electricity and natural gas surveillance dashboards and analyses, as well as Commission-wide policy decisions. As a Data Scientist, some of your typical work assignments may include: Developing and maintaining data pipelines using SQL/T-SQL, Python, R, Databricks, or Synapse to maintain a data warehouse, and other data products. Using Power BI, R, Python, SQL, etc to analyze data and implement quality control checks. Assisting other analysts use these analytics platforms on occasion. Using GitHub and Microsoft DevOps to version control your code and to collaborate with your teammates. Clearly presenting findings, approaches, and processes to the team, the Division, or management orally and/or in writing. Requirements You must be a U.S. Citizen or National. A one-year probationary period may be required. A background investigation is required. This is a bargaining unit position. Generally, male applicants must be registered with the Selective Service. This position has an education requirement, you must submit transcripts. If using education to qualify, you must submit transcripts. Relocation expenses will not be paid. You may be required to divest certain energy-related securities. You must meet all eligibility and qualification (experience and/or education) requirements by the closing date of this announcement. Qualifications To view the eligibility and qualification requirements of Data Scientist, GS-1560 please visit: Data Scientist 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 or additional education. Specialized experience is defined as: Specialized experience is defined as either (a) experience developing a data warehouse using Python or SQL, or (b) experience developing Python or SQL processes using cloud-based platforms. 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 position description, specialized experience, 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.

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