Senior Data Scientist; AI

Senior Data Scientist (AI)

Washington, DC – onsite presence highly preferred

Period of Performance: 6 months

Per Federal contract U.S. Citizenship Required

Must be able to pass enhanced background screen (criminal, financial, drug) for Public Trust clearance

W-2 or C2C

The Federal Reserve Board's Division of Consumer and Community Affairs (DCCA) is establishing an AI Lab to explore and implement generative AI and machine learning solutions that enhance staff productivity, improve analytical capabilities, and strengthen the Division's work in consumer protection and community development. We are looking for a full-stack Senior Data Scientist to support the AI Lab's research, development, and implementation of AI/ML solutions, with emphasis on generative AI applications.

This role requires end-to-end ownership, from exploratory research and model development through application deployment and production maintenance. The ideal candidate is comfortable working across the full technology stack: building models, creating visualizations, developing applications, and deploying solutions to on‑prem and/or cloud infrastructure.

The AI Lab operates as a small, agile team where practitioners are expected to move between research, development, and deployment activities. This position will contribute to strategy while doing hands‑on technical work, building models, training systems, evaluating performance, and deploying solutions. The AI Lab collaborates closely with DCCA's Data Analytics and Risk and Surveillance sections, and coordinates with the Board's enterprise technology on infrastructure, governance, and compliance matters.

• U.S. citizenship
• At least six years of hands‑on experience developing, deploying, and maintaining AI/ML applications within a large, professional, or academic organization
• Bachelor's degree in Computer Science, Data Science, Statistics, Machine Learning, or related technology field (Master's degree preferred)
• Expert proficiency in Python or R for data science development; experience with additional programming languages
• Production deployment experience:
  Demonstrated ability to build, deploy, and maintain AI/ML applications in cloud environments, including containerization and basic CI/CD practices
• Application development:
  Proficiency building interactive applications and dashboards using frameworks such as Streamlit, Dash, Flask, RShiny, or similar
• Data visualization:
  Strong experience creating visualizations and dashboards using Python/R libraries, Tableau, Power BI, or similar tools to communicate technical concepts to non‑technical audiences
• AI/ML expertise:
  Advanced knowledge of machine learning, NLP (text normalization, Named Entity Recognition, POS tagging, word embeddings), and Generative AI technologies; experience with frameworks such as Scikit‑learn, Spacy, XGBoost
• Statistical analysis:
  Advanced knowledge of statistical modeling, data analysis techniques, and problem‑solving skills
• Ability to work independently and collaboratively, taking ownership of solutions from conception through production deployment

• Prior experience in U.S. federal government, regulatory, supervisory, or policy environments
• Experience with financial services data, consumer finance, banking supervision, or regulatory data
• Experience working within agile frameworks (Scrum, Kanban) and project tracking tools (Jira, Azure Dev Ops)
• Experience with LLM APIs (GPT, Llama, Nova) and frameworks (Lang Chain, Llama Index); knowledge of prompt engineering, fine‑tuning, vector databases, and semantic search
• Familiarity with AWS AI services (Amazon Bedrock, Sage Maker, Comprehend, Rekognition, Transcribe)
• Experience building production‑grade web applications with advanced user interfaces; knowledge of data storytelling and visual design principles
• Experience visualizing model performance metrics, feature importance, and model explainability outputs
• Hands‑on experience with AWS deployment services (EC2, ECS, Lambda, S3, Cloud Watch), Databricks, and infrastructure as code (Terraform, Cloud Formation)
• AWS certifications (Solutions Architect, Machine Learning Specialty, or similar)
• Famili…