Supervisory Data Scientist

Citizenship and Immigration Services•Camp Springs, MD

About The Position

The Supervisory Data Scientist leads and supports a team of data scientists developing analytical models, data products, and evidence-based insights to advance mission priorities and improve operational decision-making. The role directs a team of expert staff performing a broad range of data science and analytical work, and provides the administrative and technical supervision needed to accomplish the mission. The incumbent sets and adjusts objectives and priorities, monitors progress and deadlines, and supports employees’ professional development through mentorship, technical guidance, and administrative support. The position also delivers reports, analyses, forecasts, and models in support of organizational objectives. The position is within USCIS’s Fraud Detection and National Security Directorate (FDNS), which works to protect national security and the integrity of the legal immigration system by identifying threats and fraud, managing fraud cases, identifying vulnerabilities, and coordinating information sharing with law enforcement and intelligence agencies. This is a GS-14 position hired under Direct Hire Authority. Applicants must meet the basic education requirement and demonstrate the specified specialized experience. The selectee may be required to serve a 12-month supervisory probationary period and must attend and pass supervisory training if not previously completed.

Requirements

U.S. citizenship or U.S. national status.
Successfully pass a background investigation, including financial disclosure, and a drug screening.
For applicants not currently employed by USCIS, meet the residency requirement: for three of the last five years immediately before applying, have resided in the United States, worked overseas as a U.S. Government employee in a Federal or Military capacity, or been a dependent of such an employee serving overseas.
Meet the basic education requirement: a degree in mathematics, statistics, computer science, data science, or a directly related field, with a major field of study at least at the baccalaureate level; alternatively, 30 semester hours equivalent to a major field in one of these areas plus additional education or appropriate experience.
Document experience using programming languages such as SQL, R, Python, SAS, SPSS, or Stata to conduct statistical analyses, query data, or integrate data sets.
For GS-14, have one year of specialized experience equivalent to at least the GS-13 level, including experience performing the majority of the listed specialized duties.
Submit college transcripts or a list of coursework with hours completed to support the basic education requirement.
If selected, attend and pass agency-required supervisory training unless previously completed; failure to attend or pass may result in removal from the position.
Male applicants born after December 31, 1959, must be registered with the Selective Service.
Political appointees may require OPM approval before onboarding.
A supervisory training course may be required within one year of assignment.
Qualifications must be met by 11:59 PM Eastern Time on October 30, 2026.

Responsibilities

Directs a team of expert staff responsible for a broad range of data science and analytical work.
Provides administrative and technical supervision to accomplish the mission.
Establishes objectives and priorities, adjusts them as needed, and monitors progress to ensure schedules and deadlines are met.
Supports the professional development and growth of subordinates through mentorship, technical guidance, and administrative support.
Delivers reports, analyses, forecasts, and models in support of organizational objectives.
Leads development, implementation, validation, and governance of data science solutions.
Applies statistical, predictive modeling, machine learning, or other quantitative methods to complex mission or operational problems.
Ensures data governance, data quality, documentation, and reproducible analytic workflows.
Coordinates with senior stakeholders to define requirements.
Delivers dashboards, briefings, visualizations, or decision-support products.