Senior Data Scientist - Artificial Intelligence

Diverse Agile Solutions

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • U.S. Citizenship required
  • Bachelor's degree in relevant field; Master's preferred
  • 6+ years in AI/ML application development
  • Expert in Python or R
  • Experience deploying ML in cloud environments
  • Strong NLP and Generative AI expertise
  • Proficient in statistical modeling and analysis

Responsibilities

  • Research and develop AI and Machine Learning solutions
  • Create proofs-of-concept and transition to production
  • Implement Generative AI using Large Language Models
  • Design architectures for Retrieval-Augmented Generation
  • Deploy production-ready AI applications in cloud
  • Collaborate with stakeholders to identify AI opportunities
  • Document methodologies and mentor junior team members

Benefits

  • Collaborative and innovative work culture
  • Opportunities for professional development and certifications
  • Engagement with cutting-edge AI technologies
  • Participation in exciting federal technology programs
  • Exposure to enterprise-scale cloud and AI platforms
  • Opportunity to influence AI practices within the federal government
Full Job Description
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
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
  • R
  • 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
Apply Today

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.

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