Principal Data Scientist Engineer (TS/SCI with CI Poly Required)
DeNOVO Solutions Principal Data Scientist Engineer (TS/SCI with CI Poly Required)
Location: Aurora, CO
Clearance Required: TS/SCI with Polygraph
Sign-On Bonus Eligible: Yes
- Shape AI Strategy: Define and lead the enterprise-level AI/ML architecture and data science approach across programs.
- Advance ML Operations: Establish scalable ML pipelines supporting distributed compute and containerized workflows.
- Foster Technical Excellence: Mentor senior data scientists and promote AI ethics, governance, and model compliance.
- Lead AI/ML program development, validation, and deployment initiatives across mission and enterprise systems.
- Establish enterprise ML pipelines supporting distributed compute and containerized workflows for operational scalability.
- Develop model explainability and compliance frameworks to ensure trustworthy operational AI.
- Oversee multi-domain data fusion analytics and promote cross-program algorithm reuse.
- Mentor senior data scientists, fostering technical growth and alignment with organizational standards.
- Define and enforce AI ethics and governance standards across mission programs.
- Guide R&D integration of advanced algorithms, federated learning, and data fusion analytics for next-generation applications.
- Expertise in TensorFlow, PyTorch, MLflow, AWS SageMaker, and Airflow for advanced model development and lifecycle management.
- Experience with PostgreSQL, MongoDB, NiFi, and Kafka streaming for large-scale data ingestion and analytics.
- Proficiency with containerized MLOps environments including Docker, Kubernetes, and Kubeflow.
- Proven ability to develop model explainability and compliance frameworks for operational AI.
- Demonstrated experience leading enterprise ML pipeline implementation and cross-domain analytics initiatives.
- Strong leadership in AI ethics, governance, and mentorship of data science teams.
- Five years of defining and leading the enterprise-level AI/ML architecture and data science approach across programs.
- Five years of establishing scalable ML pipelines supporting distributed compute and containerized workflows.
- Four years mentoring data scientists and promoting AI ethics, governance, and model compliance.
- In lieu of PhD, we are willing to substitute a Master's degree from an accredited college or university in a related engineering discipline when paired with 20 years of experience.
- Medical, Dental, and Vision Premiums 100% Employer Paid for you and your legal dependents.
- Short-Term & Long-Term Disability
- 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