Senior Data Scientist

Senior Data Scientist (Artificial Intelligence)Federal Reserve Board – Division of Consumer and Community Affairs (DCCA)Company: Diverse Agile Solutions (DAS)Location: Washington, DC (Hybrid Preferred) | Remote ConsideredJob Type: Full-Time ConsultantClearance/Work Authorization: U.S. Citizenship RequiredPosition OverviewDiverse Agile Solutions is seeking a Senior Data Scientist (Artificial Intelligence) to support the Federal Reserve Board's Division of Consumer and Community Affairs (DCCA) as part of its newly established AI Lab.This is an exciting opportunity to help build next-generation Artificial Intelligence capabilities that improve consumer protection, regulatory oversight, community development, and operational efficiency through Generative AI and Machine Learning.The ideal candidate is a full-stack AI practitioner capable of owning the complete AI lifecycle—from research and experimentation to application development, deployment, monitoring, and production support. You will work closely with economists, attorneys, analysts, and senior leadership to design intelligent solutions that deliver measurable business value.Artificial Intelligence & Machine Learning DevelopmentResearch, design, and develop innovative AI and Machine Learning solutions supporting DCCA initiativesBuild proof-of-concept AI applications and transition successful prototypes into productionDevelop Generative AI solutions using Large Language Models (LLMs)Design Retrieval-Augmented Generation (RAG) architecturesImplement prompt engineering strategies for enterprise AI applicationsFine-tune and evaluate foundation models for domain-specific use casesDevelop NLP solutions including: Text classificationNamed Entity Recognition (NER)Information extractionDocument summarizationSemantic searchApply supervised, unsupervised, deep learning, and statistical modeling techniquesEvaluate emerging AI frameworks and technologies for enterprise adoptionFull-Stack AI Application DevelopmentBuild production-ready AI applications using: PythonStreamlitDashFlaskR ShinyDevelop intuitive dashboards and visual analytics applicationsCreate interactive data visualizations using: PlotlyMatplotlibSeabornTableauPower BITranslate complex analytical findings into actionable business insightsDeployment & MLOpsDeploy AI and ML applications into cloud environmentsContainerize applications using DockerBuild CI/CD pipelines for AI deploymentsImplement model monitoring and observabilityCreate automated retraining pipelinesManage model versioning and lifecycle managementOptimize API integrations and AI inference costsTroubleshoot and maintain production AI applicationsCollaborate with Cloud Engineers and Infrastructure teamsAgile CollaborationParticipate in Agile ceremonies including: Sprint PlanningDaily StandupsSprint ReviewsRetrospectivesPartner with business stakeholders to identify AI opportunitiesTranslate business requirements into scalable AI solutionsPresent findings to executive leadership and technical teamsDocument code, methodologies, and technical decisionsMentor team members and contribute to the growth of DCCA's AI practiceGovernance & Responsible AIDevelop AI solutions aligned with federal security and governance standardsSupport FISMA, Privacy Impact Assessments, and ATO documentationApply Responsible AI principles including: FairnessBias detectionExplainabilityTransparencyCollaborate with security and compliance teams throughout the AI lifecycleRequired QualificationsU.S. CitizenshipBachelor's degree in Computer Science, Data Science, Statistics, Machine Learning, or a related field Master's degree preferredMinimum 6 years of professional experience developing, deploying, and maintaining AI/ML applicationsExpert proficiency with Python or RExperience building production AI applicationsExperience deploying Machine Learning solutions into cloud environmentsStrong knowledge of: Machine LearningDeep LearningNatural Language ProcessingGenerative AIExperience with: Scikit-learnspaCyXGBoostExperience developing interactive applications using: StreamlitDashFlaskR ShinyExperience creating dashboards and visualizations using: TableauPower BIPlotlyMatplotlibSeabornExperience with containerization and CI/CDStrong statistical modeling and analytical skillsExcellent written and verbal communication skillsAbility to independently deliver solutions from concept through productionPreferred QualificationsCandidates with experience in one or more of the following are highly encouraged to apply:Federal Government or Regulatory Agency experienceFinancial Services or BankingConsumer FinanceBanking SupervisionAgile methodologies (Scrum, Kanban)Jira or Azure DevOpsLarge Language Models (GPT, Llama, Nova)LangChainLlamaIndexPrompt EngineeringVector DatabasesSemantic SearchAWS AI Services including: Amazon BedrockSageMakerComprehendRekognitionTranscribeAWS deployment services: EC2ECSLambdaS3CloudWatchDatabricksInfrastructure as Code: TerraformCloudFormationMLOpsModel MonitoringAutomated RetrainingResponsible AIAI ExplainabilityMulti-modal AIAWS CertificationsExperience handling regulated or sensitive dataTechnical SkillsProgramming Languages