About DeNovo Solutions
Sourced by ZipRecruiter
Industry
Software development
Company size
1 - 10 Employees
Headquarters location
Centennial, CO, US
Year founded
2012
$145K - $175K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 11 days ago
Job description
Position: Data Scientist Engineer – Sr
Location: Aurora, CO
Clearance: TS/SCI with CI Polygraph
Clearance: TS/SCI with CI Polygraph
Lead AI/ML Innovation in Mission Data Science
DeNOVO Solutions is seeking a Senior 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 amp; Scalability: Design automated pipelines for data ingestion, curation, and retraining to ensure model adaptability and long-term performance.
- Validation amp; 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 amp; 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, amp; Knowledge:
- Machine Learning amp; AI: Ensemble models, CNNs, RNNs, Transformers, unsupervised and semi-supervised learning
- Frameworks amp; Libraries: TensorFlow, PyTorch, Scikit-learn, XGBoost
- Data Infrastructure: Feature stores, distributed computing frameworks (Spark, Ray, Dask)
- Deployment amp; 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: 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.
Why Join DeNOVO Solutions?
At DeNOVO Solutions, we make improving the competitive position of our customer paramount in importance and work collaboratively to ensure the best service possible. DeNOVO Solutions provides cleared personnel and cost-competitive solutions to our customers. We strive to be the leader amongst small businesses in the Intelligence Community and provide personnel with talent amp; skills equal to the larger companies. As a Minority-Owned and Service-Disabled Veteran-Owned Small Business (MO/SDVOSB), we are dedicated to providing the best technical and professional services throughout the Intelligence Community (IC).
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.
thedenovo.com
Frequently asked questions
Q: What skills or qualities help someone succeed as a Senior Data Scientist?
A: To succeed as a Senior Data Scientist, key technical skills include expertise in machine learning algorithms, statistical modeling, and programming languages such as Python or R, as well as proficiency in data visualization tools like Tableau or Power BI. Additionally, strong soft skills like effective communication, collaboration, and leadership abilities are crucial for guiding cross-functional teams and presenting complex data insights to stakeholders. By combining technical expertise with strong interpersonal skills, Senior Data Scientists can drive business growth, inform strategic decisions, and advance their careers through leadership opportunities and industry recognition.
Q: What is the career path for a Senior Data Scientist?
A: A Senior Data Scientist's typical career progression involves starting as a Data Analyst or Junior Data Scientist, progressing to a Data Scientist or Senior Data Analyst role, and eventually becoming a Senior Data Scientist or Lead Data Scientist. Key opportunities for skill development and growth include mastering advanced machine learning techniques, deep learning, and programming languages such as Python and R, as well as developing expertise in data visualization, statistical modeling, and data engineering. Long-term career prospects for Senior Data Scientists may include transitioning into leadership roles, such as Director of Data Science or Chief Data Officer, or pursuing specialized roles like Data Product Manager or AI/ML Engineer.
