Diverse Agile Solutions is hiring a Senior Data Scientist - Artificial Intelligence

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 Considered Job Type: Full-Time Consultant Clearance/Work Authorization: U.S. Citizenship Required About Diverse Agile Solutions Diverse Agile Solutions (DAS) is a certified Minority Business Enterprise (MBE) specializing in delivering innovative technology solutions and highly skilled IT professionals to federal, state, and commercial organizations. Our expertise spans Artificial Intelligence, Cloud Engineering, Data Analytics, Agile Transformation, DevSecOps, Cybersecurity, Enterprise Architecture, and Digital Modernization. At DAS, we help organizations solve complex business challenges through emerging technologies while fostering innovation, collaboration, and continuous learning. Position Overview Diverse 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. What You'll Do Artificial Intelligence & Machine Learning Development Research, design, and develop innovative AI and Machine Learning solutions supporting DCCA initiatives Build proof-of-concept AI applications and transition successful prototypes into production Develop Generative AI solutions using Large Language Models (LLMs) Design Retrieval-Augmented Generation (RAG) architectures Implement prompt engineering strategies for enterprise AI applications Fine-tune and evaluate foundation models for domain-specific use cases Develop NLP solutions including: Text classification Named Entity Recognition (NER) Information extraction Document summarization Semantic search Apply supervised, unsupervised, deep learning, and statistical modeling techniques Evaluate emerging AI frameworks and technologies for enterprise adoption Full-Stack AI Application Development Build production-ready AI applications using: Python Streamlit Dash Flask R Shiny Develop intuitive dashboards and visual analytics applications Create interactive data visualizations using: Plotly Matplotlib Seaborn Tableau Power BI Translate complex analytical findings into actionable business insights Deployment & MLOps Deploy AI and ML applications into cloud environments Containerize applications using Docker Build CI/CD pipelines for AI deployments Implement model monitoring and observability Create automated retraining pipelines Manage model versioning and lifecycle management Optimize API integrations and AI inference costs Troubleshoot and maintain production AI applications Collaborate with Cloud Engineers and Infrastructure teams Agile Collaboration Participate in Agile ceremonies including: Sprint Planning Daily Standups Sprint Reviews Retrospectives Partner with business stakeholders to identify AI opportunities Translate business requirements into scalable AI solutions Present findings to executive leadership and technical teams Document code, methodologies, and technical decisions Mentor team members and contribute to the growth of DCCA's AI practice Governance & Responsible AI Develop AI solutions aligned with federal security and governance standards Support FISMA, Privacy Impact Assessments, and ATO documentation Apply Responsible AI principles including: Fairness Bias detection Explainability Transparency Collaborate with security and compliance teams throughout the AI lifecycle Required Qualifications U.S. Citizenship Bachelor's degree in Computer Science, Data Science, Statistics, Machine Learning, or a related field Master's degree preferred Minimum 6 years of professional experience developing, deploying, and maintaining AI/ML applications Expert proficiency with Python or R Experience building production AI applications Experience deploying Machine Learning solutions into cloud environments Strong knowledge of: Machine Learning Deep Learning Natural Language Processing Generative AI Experience with: Scikit-learn spaCy XGBoost Experience developing interactive applications using: Streamlit Dash Flask R Shiny Experience creating dashboards and visualizations using: Tableau Power BI Plotly Matplotlib Seaborn Experience with containerization and CI/CD Strong statistical modeling and analytical skills Excellent written and verbal communication skills Ability to independently deliver solutions from concept through production Preferred Qualifications Candidates with experience in one or more of the following are highly encouraged to apply: Federal Government or Regulatory Agency experience Financial Services or Banking Consumer Finance Banking Supervision Agile methodologies (Scrum, Kanban) Jira or Azure DevOps Large Language Models (GPT, Llama, Nova) LangChain LlamaIndex Prompt Engineering Vector Databases Semantic Search AWS AI Services including: Amazon Bedrock SageMaker Comprehend Rekognition Transcribe AWS deployment services: EC2 ECS Lambda S3 CloudWatch Databricks Infrastructure as Code: Terraform CloudFormation MLOps Model Monitoring Automated Retraining Responsible AI AI Explainability Multi-modal AI AWS Certifications Experience handling regulated or sensitive data Technical Skills Programming Languages Python SQL AI / Machine Learning Generative AI Large Language Models (LLMs) Machine Learning Deep Learning NLP RAG Prompt Engineering Semantic Search Fine-Tuning Frameworks & Libraries Scikit-learn spaCy XGBoost LangChain LlamaIndex Streamlit Dash Flask R Shiny Cloud & DevOps AWS Docker Kubernetes CI/CD Git Terraform CloudFormation Visualization Tableau Power BI Plotly Matplotlib Seaborn ggplot2 Why Join Diverse Agile Solutions? At DAS, you'll work alongside some of the industry's brightest technology professionals on innovative federal initiatives that leverage Artificial Intelligence to solve meaningful business challenges. We offer: Competitive compensation Exciting federal technology programs Opportunities to work with cutting-edge AI technologies Collaborative and innovative culture Professional development and certification support Exposure to enterprise-scale cloud and AI platforms Opportunity to help shape the future of AI in the federal government Work Environment Full-time consulting position Hybrid work environment (Washington, DC) Remote work may be considered Agile, collaborative AI Lab Fast-paced innovation environment focused on research and rapid prototyping Equal Employment Opportunity Diverse Agile Solutions is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. We consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable federal, state, or local law. If you're passionate about Artificial Intelligence, Machine Learning, and building production-ready AI solutions that make a real impact, we'd love to hear from you. Join Diverse Agile Solutions and help shape the future of AI innovation within the Federal Reserve Board.