APPLYONREQ" class="inputbutton" onclick="javascript:setEvent(event);requisitionapplyOnRequisition('requisitionDescriptionInterface','actApplyOnReq',ftlapi.lstVal('requisitionDescriptionInterface', 'requisitionDescriptionInterface.descRequisition', 'requisitionDescriptionInterface.ID1235', this),'application');return ftlUtil_followLink(this);"/> Sr. Data Scientist - AI Program Office -Information Technology - R025617 Primary Location : DC-Washington : Employee Status : Regular Overtime Status : Exempt Job Type : Standard : : : Relocation Provided: : Yes Compensation Grade Low: : FR PAY GRADE 27 Compensation Grade High: : FR PAY GRADE 28 Minimum Salary: : $140,500.00 Maximum Salary: : $190,900.00 Posting Date : May 7, 2026 Position Description Minimum EducationBachelor's degree or equivalent experienceMinimum Experience6SummaryLeads 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.Duties and ResponsibilitiesLead 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. Position Requirements U.S. CITIZENSHIP REQUIREDFR-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. Extensive experience with analytical and statistical software packages (R, MATLAB, or SAS). Extensive experience with programming languages (Python, Java, or SQL). Lead cross-functional teams to solve highly complex problems and improve quality and service. Manage multiple, highly visible projects and work processes in a timely fashion. Lead involved and independent research and analysis.Remarks:The AI Program Senior/Lead Data Scientist serves as a critical bridge between R&D innovation and business impact, coordinating with both technical and business teams to solve the organization's most complex challenges using cutting-edge AI. You will transform individual pilots into scalable capabilities. Your work will directly support the organization's research and policy mission while also advancing enterprise AI capabilities. Success requires deep AI expertise, strong analytical rigor, and the ability to coordinate efforts across the organization, ensuring R&D innovations translate into measurable business value.The ideal candidate will possess and demonstrate the following desired qualifications:· Demonstrated knowledge and competence in artificial intelligence technologies and data scienceExpert-level experience in RAG systems, NLP, and embedding architectures including hands-on expertise optimizing RAG systems (vector databases, embeddings, chunking, retrieval quality); strong knowledge of NLP techniques and unstructured data processing; proven track record building production-grade RAG implementations with measurable improvements. FR-28 requires demonstrated thought leadership and ability to architect enterprise-scale RAG solutions.· Experience with agentic AI and @context engineering including demonstrated ability designing AI systems where agents collaborate to solve complex problems; strong knowledge of prompt engineering, @context optimization, and LLM performance tuning; hands-on experience with agent coordination and task workflows. FR-28 requires expertise in advanced agentic architectures and emerging AI paradigms.· Advanced proficiency with AI coding tools including hands-on experience with AI-assisted development tools (Claude Code, Codex, Cursor, or similar); proven ability leveraging AI to accelerate code development, refactoring, and debugging; demonstrated skill integrating AI coding assistants into production workflows while maintaining code quality and security standards. FR-28 requires track record scaling AI coding practices across teams.· Advanced data science and experimental rigor with strong proficiency in Python/SQL/R, and statistical analysis; demonstrated experience building predictive models, decision engines, and metrics frameworks; proven ability synthesizing complex data into actionable insights; ability to work with economic data, financial datasets, and policy-relevant information to support research and policy analysis.· Strategic business partnership and cross-functional coordination with track record working directly with senior business stakeholders on high-impact AI initiatives while working closely with technical teams (engineers, architects, developers) to ensure feasibility and implementation; proven ability leading pilots that deliver measurable outcomes; skill translating ambiguous business problems into innovative technical solutions that align R&D efforts with business priorities.· Experience training and leading by example with ability to teach staff effective use of AI tools through hands-on demonstrations and mentoring; track record building organizational AI literacy and fostering a culture of continuous learning. FR-28 requires experience developing enterprise-wide AI education strategies.· Exceptional communication skills with ability to articulate complex AI capabilities to executive audiences while effectively collaborating with technical practitioners; proven experience building organizational buy-in for AI initiatives across business and technical stakeholders.· AI governance expertise including deep understanding of model validation, bias detection, and compliance frameworks in production AI systems.· Ability to work independently and influence without authority on complex challenges while coordinating effectively across business and technical teams.Background or strong interest in economics, finance, or Federal Reserve mission areas (monetary policy, financial stability, banking supervision, payments, consumer protection); ability to understand domain-specific challenges and translate them into AI opportunities.· Recognized expertise through publications, patents, conference presentations, or significant open-source contributions in agentic AI, RAG systems, or LLM optimization· Deep hands-on experience with multiple AI frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI) and vector database technologies· Experience in highly regulated environments (government, financial services)· Portfolio demonstrating scalable AI implementations with measurable business impactThis position is located in Washington, DC. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, pregnancy, national origin, age, disability, genetic information, or application, membership, or service in the uniformed services. Req ID: R025617
