Data Scientist

As a Data Scientist, you will: Help to anticipate future needs and to develop policy and guidance used to make or influence major policy, strategy, or regulatory decisions having significant impact upon the agency's mission.

Perform analysis and provide expertise in developing and verifying hypothesis/concepts/theories/proposals in a variety of technical and analytical areas using the latest computational systems, platforms, algorithms and tools; sophisticated and advanced quantitative methods and techniques (including Artificial Intelligence); and large data sets.

Play a key role in broad data research projects of major policy importance, difficulty, and complexity, directed toward significant problems relating to goals and mission of the Bureau of Fiscal Service. Influence and collaborate with stakeholders to build partnerships for sharing and improving open data.

Key Requirements: Please refer to "Conditions of Employment." Click "Print Preview" to review the entire announcement before applying. Must be U.S. Citizen or U.S. National. You must meet the following requirements by the closing date of this announcement. The experience may have been gained in either the public, private sector or volunteer service.

One year of experience refers to full-time work; part-time work is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year and indicate number of hours worked per week on your résumé.

Specialized experience: For the GS-13, you must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service.

Specialized experience for this position is defined as: - Applying advanced statistical, algorithmic, or machine learning techniques to analyze large and complex datasets and produce insights that inform program decisions; AND - Designing, developing, and validating data models, automated processes, or analytical tools that detect anomalies, identify trends, or enhance program integrity; AND - Communicating technical findings to nontechnical audiences through clear visualizations, reports, and briefings that support executives, program teams, or cross agency partners.