Sr Data Scientist - AI Program Office – Division of Information Technology

Job Description - Sr AI Data Scientist - AI Program Office – Division of Information Technology (R025812)

Sr AI Data Scientist - AI Program Office – Division of Information Technology - R025812

DC-Washington

Regular

Exempt

Standard

Relocation Provided :
Yes

Compensation Grade Low : FR PAY GRADE 27

Compensation Grade High : FR PAY GRADE 28

Minimum Salary : $

Maximum Salary : $

Aug 25, 2026

Position Description

Minimum Education Bachelor's degree or equivalent experience

Minimum Experience 6

Summary Leads statistical and mathematical initiatives to predict future outcomes through the application of machine learning, natural language processing, and conceptual modeling. Uses existing, and makes improvements to, algorithms to test hypotheses through careful and deliberate model design. Leads statistical analysis, modeling, and simulation that leads to actionable decisions. Applies statistical methods to characterize uncertainty using large, complex datasets. Deploys data mining techniques to refine models that optimize decisions and improve scalable and reusable data mining solutions and capabilities that support Division strategic objectives.

Leads methods for transforming data into actionable information.

• Lead the development of analytic projects and predictive modeling using data mining techniques (e.g. classification trees, bagging, random forests, boosting, cluster analysis, factor analysis, shrinkage methods).
• Lead the design and optimization of algorithms for matching and pattern recognition using advanced approaches (e.g. locality-sensitive hashing, fuzzy logic).
• Lead large-scale analytical research projects through all stages; this includes concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
• Design, build, and leverage large and complex data sets while thinking strategically about uses of data, and how data usage interacts with data design.
• Lead the transformation of large-scale datasets from internal and external systems in a manner suitable for analysis.
• Lead large-scale data studies and data discovery initiatives targeting for new data sources or new uses of existing data sources.
• Lead design and implementation of data quality tests and implements new methods to improve statistical inferences of variables across models.
• Visualize and report data findings using a variety of formats to enhance insights into complex issues. Communicates findings through internal reports, executive summaries, and formal presentations.
• Establish links across data sources and map intricate interrelationships.
• Compile, review, and assess information from academic journals, market sources, and other reports to maintain state-of-the-art knowledge in data analysis techniques.

FR-27

Minimum Qualifications:

Requires a bachelor's degree or equivalent experience plus six years of experience. Must demonstrate knowledge of competence in the application of advanced theoretical and quantitative techniques in Data Science, Statistics, Mathematics, Computer Science, or other quantitative discipline. Experience with analytical and statistical software packages such as R, MATLAB, or SAS. Experience with programming languages such as Python, Java, or SQL preferred.

Extensive experience with large datasets. Passionate about data maintenance and data quality control. Excellent analytical and problem solving skills with attention to detail and data accuracy. Strong interpersonal, communication (verbal and written), relationship management, and customer service skills with a focus on working effectively in a team environment. Work cross-functionally to solve complex problems and improve quality and service. Manage multiple projects and work processes in a timely fashion.

Perform involved and independent research and analysis. Ability to maintain confidentiality and appropriately handle sensitive information.

FR-28

Minimum Qualifications:

Requires a bachelor's degree or equivalent experience plus eight years of experience. Must demonstrate knowledge of competence in the application of advanced theoretical and quantitative techniques in Data Science, Statistics, Mathematics, Computer Science, or other quantitative discipline. Extensive experience with analytical and statistical software packages (R, MATLAB, or SAS). Extensive experience with programming languages (Python, Java, or SQL). Extensive experience with large datasets.

Passionate about data maintenance and data quality control. Excellent analytical and problem solving skills with attention to detail and data accuracy. Strong interpersonal communication (verbal and written), relationship management, and customer service skills with a focus on working effectively in a team environment. Lead cross-functional teams to solve highly complex problems and improve quality and service. Manage multiple, highly visible…