Protect your homeland and defend your culture. Join USCIS, America's frontline defense against illegal foreign infiltration and fraud.
As an DATA SCIENTIST, you will gather and analyze facts, determine the accuracy of data, apply technical proficiency in using current software functionality, and research ways to improve production and/or increase the quality of the work product.
The qualifications for this position must be met by 11:59 PM (Eastern Time) on 08/14/2026.
Time in Grade does not apply to Delegated Examining Announcements, any reference to Time in Grade in the questionnaire will not apply to the rating and ranking of applicants.
This announcement is issued under the Direct Hire Authority to recruit for positions for which the Department of Homeland Security, U.S. Citizenship and Immigration Services, has a critical hiring need.
Basic Requirements:
- Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR
- B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Selective Placement Factor:
You must have experience working with programming languages such as: SQL, R, Python, SAS, SPSS or Stata to conduct statistical analyses, query or integrate data sets?. This experience must be documented in your resume. Failure to do so may result in an ineligible rating.
GS-12
- Applying data mining techniques to analyze datasets and extract actionable insights for decision-making;
- Implementing data models to support program objectives and improve operational efficiency;
- Communicating technical findings and data-driven recommendations to both technical and non-technical stakeholders; and,
- Utilizing programming languages (such as Python, R, or SQL) and data visualization tools (such as Tableau or Power BI) to manipulate, analyze, and present large volumes of structured and unstructured data.
GS-13
- Leading the design and implementation of statistical models, machine learning algorithms, or data mining solutions to address organizational challenges;
- Managing data science projects, coordinating team activities, and ensuring timely delivery of analytical products;
- Advising senior leadership and stakeholders on data-driven strategies, presenting complex technical findings in actionable terms; and,
- Developing and maintaining automated data pipelines or analytical tools using programming languages (such as Python, R, or SQL) and advanced data visualization platforms (such as Tableau or Power BI) to support large-scale data analysis and reporting.