Data Scientist

Company: U.S. Customs and Border Protection

Location: Washington, DC (Remote)

Salary: $74.7k - $138.4k per year

Type: Full-time

Remote: Yes

Posted: 2026-11-09

About this role

Please see announcement on USAJOBS for available locations.


Summary
Organizational Location: This position is with the Department of Homeland Security, within U.S. Customs and Border Protection, Office of Human Resources Management, People Analytics Division, in the following locations: Indianapolis, IN Minneapolis, MN Washington, D.C. Salary: Salary listed reflects the rest of U.S. scale and, if applicable, will be adjusted to meet the locality pay or cost of living expenses of the duty location upon selection.


Duties
As a Data Scientist you will serve as an expert analyst and senior management, with a primary function of providing objectively based information derived from the use of advanced scientific, mathematical, and statistical work to support data-driven decision making across HRM related areas such as the recruiting, hiring, and retention of the workforce. This position starts at a salary of $74,678.00 (GS-11, Step 1) to $138,370.00 (GS-13, Step 10). Major Duties: Providing expertise to management through the application of advanced data science techniques including data extraction, transformation, cleaning, modeling, machine learning, and artificial intelligence (AI) to process and extract insights from structured and unstructured data and provide guidance for solutions to a variety of complex challenges to the Agency's Human Capital programs that have a significant impact on personnel decisions. Appling advanced quantitative, computer science, mathematical, and statistical skills to interpret extremely large and unstructured data sets, the results of which will be used for forecasting critical problems and making data-driven decisions regarding the administrative and programmatic aspects of HRM and CBP's operations and management. Advising and develops innovative strategies on measurement of the design, development, deployment, maintenance, and enhancement of large-scale projects to analyze programmatic data and forecast the effects o...

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