
Senior Data Scientist Engineer (TS/SCI with CI Polygraph)
Job Description
Clearance: TS/SCI with CI Polygraph
- You’ll Shape AI for the Mission: Design and deploy models that extract real-world value from signal and sensor data.
- You’ll Drive Scalable ML Systems: Lead the integration of automated retraining and deployment pipelines within secure cloud environments.
- You’ll Mentor and Lead: Share your expertise with junior data scientists and engineers, fostering a culture of innovation and technical excellence.
- AI/ML Solution Development: Lead the creation and optimization of advanced ensemble, neural network, and unsupervised learning models tailored to mission data.
- Automation & Scalability: Design automated pipelines for data ingestion, curation, and retraining to ensure model adaptability and long-term performance.
- Validation & Explainability: Coordinate with analysts and mission experts to validate models, track accuracy metrics, and enforce compliance with explainability and transparency standards.
- Model Deployment: Integrate and operationalize ML models into production systems, collaborating with DevSecOps to align with CI/CD pipelines and mission constraints.
- Monitoring & Optimization: Implement tools for continuous monitoring, A/B testing, and drift detection to maintain model reliability.
- Team Leadership: Mentor junior team members, review code and models, and promote best practices in data science methodology, governance, and reproducibility.
- Machine Learning & AI: Ensemble models, CNNs, RNNs, Transformers, unsupervised and semi-supervised learning
- Frameworks & Libraries: TensorFlow, PyTorch, Scikit-learn, XGBoost
- Data Infrastructure: Feature stores, distributed computing frameworks (Spark, Ray, Dask)
- Deployment & Monitoring: MLflow, DVC, Docker, model monitoring, A/B testing, data drift detection
- Analytical Expertise: Causal inference, signal data processing, experiment design, model interpretability (SHAP, LIME)
- Collaboration Tools: Jupyter Notebooks, Git, Confluence, Agile/DevSecOps environments
- Experience: Ten (10) to fifteen (15) years of experience designing, training, and deploying ML models within the DoD or Intelligence Community, including experience leading technical teams or enterprise AI initiatives.
- Education:
- Bachelor’s degree or higher in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science).
- A Master’s degree may substitute for two years of experience; a PhD may substitute for four years.
- An additional two years of related experience may substitute for a Bachelor’s degree.
- Certifications: None required.
- Clearance: TS/SCI with CI Polygraph.
- Medical, Dental, and Vision Premiums 100% Employer Paid for you and your legal dependents or plus up, cost split plan.
- DeNOVO Paid Health Reimbursement Account (HRA).
- 401k with 6% Match.
- 11 Paid Federal Holidays.
- 120 hours of Paid Time Off (PTO).
- Company Outings and Trips.
- Tuition Reimbursement, Skillset Training, and New/Renewed Certification assistance.
- HomeFundIt Company Down Payment Match – Employer match towards the down payment of buying a new home.
Pay Range: $145,000 - $175,000 per year