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# Data Scientist (AI / ML) | SME

- **Company:** Amatriot Group, LLC
- **Location:** Chantilly, VA, United States
- **Experience:** Expert
- **Salary:** $130,000 - $200,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Machine Learning, Feature Engineering, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Machine Learning Operations
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f0447b52e835b7f4

## About the Role

* Bachelor's degree required., * Minimum of 10 years of experience.

## Description

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., 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.