Senior Data Scientist – AI/ML for Federal Modernization

Harmonia Holdings Group, LLC; Washington (District of Columbia); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Revolutional is seeking a Lead Data Scientist to define and drive enterprise data science and AI/ML strategy across a large-scale federal modernization program. You will lead efforts spanning analytics, ML, MLOps, governance, and operational analytics integration across complex enterprise systems.

Collaboration with data engineering, architecture, and application teams is essential to ensure production-ready, scalable AI capabilities.

Qualifications

• U.S. Citizenship with the ability to obtain a Public Trust.
• PhD in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 15+ years of experience in data science, AI/ML, advanced analytics, or enterprise modernization initiatives.

Responsibilities

• Provide technical leadership across enterprise data science and AI/ML initiatives within a large-scale modernization program.
• Design, develop, validate, deploy, monitor, and scale machine learning and advanced analytics solutions in production environments.
• Lead implementation of MLOps practices supporting model lifecycle management, automation, observability, and continuous improvement.
• Apply advanced data science techniques including NLP, LLMs, deep learning, reinforcement learning, anomaly detection, and time series analysis.
• Design and support event-driven analytics and real-time/streaming ML pipelines.
• Collaborate with data engineers, architects, application teams, and SMEs to integrate AI/ML capabilities into enterprise systems and operational workflows.
• Support system-of-systems (SoS) integrations across multiple systems, vendors, contractors, and interdependent platforms.
• Establish AI governance frameworks supporting fairness, bias mitigation, explainability, transparency, and compliance with standards such as the NIST AI Risk Management Framework.
• Develop reproducible analytics workflows, technical documentation, analysis plans, dashboards, and reporting deliverables.
• Support DataOps and Agile data science practices including iterative development, pipeline automation, CI/CD integration, and collaborative model delivery.
• Ensure analytics solutions align with enterprise security, privacy, and compliance requirements.
• Drive improvements in data quality, validation, accessibility, and operational analytics reliability.
• Present findings, recommendations, and technical approaches to executive leadership and stakeholders.
• Mentor data scientists and analytics teams while promoting best practices across the organization

Skills

Python

R

Spark

TensorFlow

PyTorch

Databricks

MLOps

NLP

LLMs

Deep learning

Time series

Education

PhD in Data Science

Tools

Git

Jira

Confluence

CI/CD

Job description

Revolutional is seeking a Lead Data Scientist to define and drive enterprise data science and AI/ML strategy across a large-scale federal modernization program. You will lead efforts spanning analytics, ML, MLOps, governance, and operational analytics integration across complex enterprise systems.

Collaboration with data engineering, architecture, and application teams is essential to ensure production-ready, scalable AI capabilities.