Data Scientist (AI / ML) | SME

Sorry, this job was removed at 03:10 p.m. (UTC) on Friday, Nov 06, 2026
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Chantilly, VA, USA
In-Office
180K-200K Annually
Expert/Leader
Information Technology • Professional Services • Cybersecurity • Defense
The Role
Develop machine learning, advanced analytics, and generative AI solutions across the full model lifecycle. Responsibilities include data exploration, feature engineering, model validation, LLM fine-tuning, prompt engineering, RAG development, experimental design, model governance, fairness monitoring, and production integration with data engineering, product, and MLOps teams.
Summary Generated by Built In

Location: Chantilly, VA
Security Clearance: Active TS or higher [Required] w/ ability to obtain a CI Poly
Job Type: Full-Time
Target Salary Range*: $180,000 - $200,000

*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

Position Overview

The Data Scientist (AI / ML) develops machine learning models, advanced analytics solutions, and generative AI capabilities supporting intelligent products and data-driven decision-making. This role spans the full model lifecycle, from data exploration and feature engineering through validation and refinement. Working with data engineering, product, and MLOps teams, the scientist translates complex algorithmic outcomes into production-ready systems and actionable stakeholder insights.

Key ResponsibilitiesMachine Learning and Advanced Analytics
  • Develop machine learning models and advanced analytics solutions.
  • Perform data exploration, feature engineering, model validation, and refinement.
  • Prototype scalable predictive, classification, and optimization solutions.
Generative AI Development
  • Integrate modern generative AI techniques into intelligent products and analytical solutions.
  • Perform large language model (LLM) fine-tuning and prompt engineering.
  • Develop retrieval-augmented generation (RAG) workflows.
Experimental Design and Model Governance
  • Establish rigorous experimental designs to support model development and evaluation.
  • Monitor model fairness and governance throughout the model lifecycle.
Collaboration and Production Integration
  • Partner with data engineering, product, and MLOps teams to translate algorithmic outcomes into production-ready systems.
  • Communicate complex analytical results as actionable stakeholder insights.
QualificationsEducation
  • Bachelor’s degree required.
Experience
  • Minimum of 10 years of experience.

Skills Required

  • Bachelor's degree
  • Minimum of 10 years of experience
  • Active Top Secret security clearance or higher

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Year Founded: 2011

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The Amatriot Group is a talent solutions firm providing technology expertise to the federal and commercial sectors. With over a decade of experience delivering mission-critical support to the intelligence, defense, and national security sectors, the company specializes in delivering cutting-edge technology solutions by securing top-tier talent to bridge workforce gaps in the most complex and secure environments.

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