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# Senior Data Scientist

- **Company:** Ampcus Inc
- **Location:** Chantilly, VA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, ARM Architecture, Continuous Integration, Relational Databases, Decision Support Systems, Information Retrieval, Python (Programming Language), PostgreSQL, Machine Learning, Tensorflow, Standard Sql, Search Technologies, Software Deployment, Pytorch, Retrieval-Augmented Generation, Large Language Models, Snowflake, Generative AI, Agentic-AI, AI Platforms, Scikit Learn, Xgboost
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8fw55iw6

## About the Role

* 6+ years delivering advanced analytics and machine learning solutions, including production deployment.
 * 2+ years delivering GenAI/LLM solutions (RAG, agents, evaluation/guardrails) in an enterprise environment.
 * Strong Python and SQL skills; experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch/TensorFlow) and data science best practices.
 * Hands-on experience with Snowflake (Snowpark and/or Cortex) and relational databases such as PostgreSQL.
 * Experience with vector search/embeddings and knowledge retrieval patterns; familiarity with vector databases and hybrid search.
 * Experience partnering with engineering on production services (APIs, batch/stream pipelines), monitoring, and CI/CD.
 * Ability to define and run robust evaluation for models/LLMs (quality, safety, performance, cost) and translate into business KPIs.

## Description

Reporting to the Director of Applied AI & Data Science, this role partners closely with business stakeholders, data analysts, engineers, and Data & AI architects to translate complex questions into explainable and production-ready capabilities. You will build solutions using Snowflake, PostgreSQL, and approved AI platforms including Retrieval Augmented Generation (RAG), agentic workflows, and decision support analytics with clear responsible AI controls suitable for regulated environments.