Job DescriptionACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIREDWe are seeking a
Senior Data Scientist & AI/ML Engineer to spearhead the evolution of the analytic lifecycle for critical defense and intelligence customer missions. In this role, you will perform Exploratory Data Analysis (EDA) on large-scale datasets to produce critical operational insights and answer complex Requests for Information (RFIs). You will integrate AI-enabled workflows, design advanced retrieval architectures, and apply mathematical modeling and statistical analysis to modernize traditional intelligence processes. Acting as a vital bridge between technical data and operational leadership, you will communicate actionable findings across technical documentation, briefing decks, and executive forums.
The annual base salary range for this role is $187,000-$221,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Required Skills- Exploratory Data Analysis (EDA) & Intelligence Modeling: Mastery in executing EDA on large datasets to extract actionable insights, resolve RFIs, and apply mathematical modeling and statistical analysis for intelligence applications.
- Analytic Modernization & AI Workflows: Proven success innovating the analytic lifecycle by replacing legacy workflows with automated, AI-powered solutions and tradecraft.
- Programming & Big Data: Advanced proficiency in Python and PySpark for big data analytics, large-scale data manipulation, and automated processing.
- AI/ML Model Development: Hands-on experience building, training, and evaluating ML/DL models using PyTorch, TensorFlow, and Scikit-Learn.
- Modern AI Architecture: Demonstrated architectural experience with Retrieval-Augmented Generation (RAG), Prompt Engineering, or Low-Rank Adaptation (LoRa).
- Technical Communication: Excellent ability to serve as a bridge between complex data structures and decision-makers, communicating insights via technical reports, whitepapers, and operational briefings.
Education:
Bachelor's Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS
15+ years of professional experience in data science, NLP, or software engineering.
Desired SkillsLanguage & Querying Languages: Proficiency with R, SQL, or Scala for analytical processing and database querying.
LLM & AI Frameworks: Practical experience with LangChain, LlamaIndex, or Hugging Face Transformers.
Vector Databases: Familiarity with vector database platforms (e.g., Qdrant, ChromaDB, PGVector, Pinecone).
Data Visualization: Hands-on experience crafting compelling visual analytics using Tableau, Seaborn, Matplotlib, or Plotly.
DevOps & MLOps Tooling: Exposure to MLOps workflows using Git, Docker, Kubernetes, and Jupyter Notebooks.
