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

DeNOVO Solutions, LLC

Aurora (CO)

On-site

USD 135,000 - 155,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, and Vision Premiums 100% Employer Paid
401k with 6% Match
120 hours of Paid Time Off (PTO)

Job summary

DeNOVO Solutions, LLC is seeking a Mid Level Data Scientist Engineer in Aurora, CO to spearhead AI/ML initiatives. This role focuses on designing, developing, and deploying advanced solutions that transform mission data into actionable intelligence. You'll lead high-impact projects, mentor mid-level engineers, and collaborate with analysts to ensure model accuracy.

With a competitive salary range of $135,000 to $155,000, the position offers generous benefits including medical, dental, 401k matching, and more.

Qualifications

  • 5-10 years of experience designing, training, and deploying ML models within the DoD or Intelligence Community.
  • Bachelor's degree or higher in a quantitative discipline such as statistics or engineering.
  • Experience leading technical teams or enterprise AI initiatives.

Responsibilities

  • Lead the design, development, and deployment of advanced AI/ML solutions.
  • Coordinate with analysts to validate models and track accuracy metrics.
  • Mentor junior data scientists and engineers.

Skills

Machine Learning & AI
Ensemble models
CNNs
RNNs
Transformers
unsupervised and semi‑supervised learning
TensorFlow
PyTorch
Scikit-learn
XGBoost

Education

Bachelor's degree in a quantitative discipline

Tools

Docker
MLflow
DVC

Job description

Position: Data Scientist Engineer – Mid

Location: Aurora, CO

Clearance: TS/SCI with CI Polygraph

Lead AI/ML Innovation in Mission Data Science

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.

Why You’ll Love This Role
  • 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.
A Day in the Life
  • 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.
Tools, Technologies, Skills, & Knowledge
  • 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
What You Need
  • Experience: 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.
  • 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.

Salary Range: $135,000.00 - $155,000.00 (Commensurate with experience)

Note: The above salary range is a guideline and represents a broad spectrum of potential compensation. We recognize that a candidate’s unique experience and qualifications may justify compensation beyond this range. Therefore, we remain open to considering higher salary offers for exceptionally qualified candidates.

Our benefits package for full‑time employees includes
  • 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.

DeNOVO Solutions is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law.

Ready to Apply?

If you’re ready to lead advanced AI/ML initiatives and deliver high‑performance, explainable models that shape mission outcomes, apply today with DeNOVO Solutions.

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