Mid-Level Data Scientist Engineer (TS/SCI with CI Polygraph)

DeNOVO Solutions • Aurora, CO

12d • Onsite

About The Position

DeNOVO Solutions is seeking a Mid Level Data Scientist Engineer to lead the design, development, and deployment of advanced AI/ML solutions supporting complex mission and operational environments. This role is ideal for an experienced data science professional who thrives at the intersection of research, engineering, and mission execution—developing high-impact, explainable models that transform raw data into actionable intelligence. You’ll guide the evolution of production ML systems, mentor mid-level engineers, and work directly with analysts to ensure model performance meets the highest standards of accuracy, transparency, and operational readiness.

Requirements

• Five (5) to ten (10) years of experience designing, training, and deploying ML models within the DoD or Intelligence Community, including experience leading technical teams or enterprise AI initiatives.
• Bachelor’s degree or higher in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science).
• TS/SCI with CI Polygraph clearance.

Nice To Haves

• 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
• 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.

Responsibilities

• Design and deploy models that extract real-world value from signal and sensor data.
• Lead the integration of automated retraining and deployment pipelines within secure cloud environments.
• Share expertise with junior data scientists and engineers, fostering a culture of innovation and technical excellence.
• Lead the creation and optimization of advanced ensemble, neural network, and unsupervised learning models tailored to mission data.
• Design automated pipelines for data ingestion, curation, and retraining to ensure model adaptability and long-term performance.
• Coordinate with analysts and mission experts to validate models, track accuracy metrics, and enforce compliance with explainability and transparency standards.
• Integrate and operationalize ML models into production systems, collaborating with DevSecOps to align with CI/CD pipelines and mission constraints.
• Implement tools for continuous monitoring, A/B testing, and drift detection to maintain model reliability.
• Mentor junior team members, review code and models, and promote best practices in data science methodology, governance, and reproducibility.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level