Data Scientist

US Bureau of the Fiscal Service; Washington (District of Columbia); On-site; USD 110,000 - 150,000; Full time

Job summary

US Bureau of the Fiscal Service in Washington, DC seeks a Data Scientist to independently develop research studies, analyses, and projects that influence BFS programs and policies across government agencies. The role requires applying advanced statistical and machine learning techniques to large datasets and communicating findings to executives and cross-agency partners.

Specialized experience at the GS-12 level or equivalent is required, including designing data models and automated tools, and

Qualifications

• Applying advanced statistical, algorithmic, or machine learning techniques to analyze large and complex datasets.
• Designing, developing, and validating data models, automated processes, or analytical tools that detect anomalies, identify trends, or enhance program integrity.
• Communicating technical findings to nontechnical audiences through clear visuals, reports, and briefings.

Responsibilities

• Independently develop research studies, analyses, and projects that affect BFS programs and policies.
• Translate analytic results into actionable insights for executives and cross-agency partners.

Skills

Advanced statistical techniques

Algorithmic techniques

Machine learning

Job description

PLEASE NOTE: Based on the current hiring restrictions, selectees may be subject to additional approvals prior to an offer being extended.

This position is located at Bureau of the Fiscal Service, Financial Integrity Products Division. As a Data Scientist, you will independently develop research studies, analysis, and projects that affect the programs and policies of the Bureau of the Fiscal Service (BFS) and other government agencies.

Key Requirements:

1. Please refer to "Conditions of Employment."
2. Click "Print Preview" to review the entire announcement before applying.
3. 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.