Data Scientist (AI / ML) | SME

The Amatriot Group; Chantilly (VA); On-site; USD 130,000 - 200,000; Full time

Job summary

The Amatriot Group in Chantilly, VA is seeking a Data Scientist (AI/ML) to develop models, analytics, and generative AI capabilities across the full model lifecycle. You will collaborate with data engineering, product, and MLOps teams to translate complex outcomes into production-ready systems.

The role requires a minimum of 10 years of experience and an active TS clearance. This is a full-time on-site position in Chantilly, offering a competitive salary and opportunities to drive data-driven

Qualifications

• Bachelor’s degree required.
• Minimum of 10 years of experience.
• Active TS or higher security clearance required.

Responsibilities

• Develop machine learning models and advanced analytics solutions.
• Prototype scalable predictive, classification, and optimization solutions.
• Integrate generative AI techniques into intelligent products and analytics solutions.
• Collaborate with data engineering, product, and MLOps teams to productionize models and translate results into actionable insights.

Education

Bachelor’s degree

Job description

Location: Chantilly, VA

Security Clearance: Active TS or higher [Required]

Job Type: Full-Time

Target Salary Range*: $130,000 - $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 Responsibilities

Machine 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.

Qualifications

Education

• Bachelor’s degree required.

Experience

• Minimum of 10 years of experience.