Principal Data Scientist Engineer (TS/SCI with CI Poly Required)

DeNOVO Solutions, LLC; Aurora (CO); On-site; USD 230,000 - 255,000; Full time

Benefits offered by this job

Medical, Dental, and Vision premiums %

Disability coverage

401k match

11 paid federal holidays

120 hours PTO

Company outings

Tuition reimbursement

Job summary

DeNOVO Solutions, a cleared defense contractor, is seeking a Principal Data Scientist to lead enterprise AI strategy in Aurora, CO. You will define and drive the AI/ML architecture across programs, mentor senior data scientists, and ensure model governance and compliance.

Responsibilities include building scalable ML pipelines, enabling distributed compute and containerized workflows, and guiding R&D in federated learning and data fusion across mission and enterprise systems.

Qualifications

• Fifteen (15) or more years of related professional experience supporting programs and contracts of similar scope, type, and complexity.
• Five years defining and leading the enterprise-level AI/ML architecture across programs.
• Five years establishing scalable ML pipelines with distributed compute and containerized workflows.
• Four years mentoring data scientists and promoting AI ethics, governance, and model compliance.

Responsibilities

• Lead AI/ML program development, validation, and deployment across mission and enterprise systems.
• Establish enterprise ML pipelines supporting distributed compute and containerized workflows for scalability.
• Develop model explainability and compliance frameworks for operational AI.
• Oversee multi-domain data fusion analytics and promote cross-program algorithm reuse.
• Mentor senior data scientists and align with organizational standards.
• Define and enforce AI ethics and governance standards across programs.
• Guide R&D integration of advanced algorithms, federated learning, and data fusion analytics.

Skills

TensorFlow

PyTorch

MLflow

AWS SageMaker

Airflow

PostgreSQL

MongoDB

NiFi

Kafka

Docker

Kubernetes

Kubeflow

Model explainability

Governance & ethics

Leadership

Education

PhD in related engineering discipline

Master's degree in related discipline with 20 years experience

Tools

TensorFlow

PyTorch

MLflow

AWS SageMaker

Airflow

PostgreSQL

MongoDB

NiFi

Kafka

Docker

Kubernetes

Kubeflow

Job description

Position Title: Data Scientist Engineer - Principal

Location: Aurora, CO

Clearance Required: TS/SCI with Polygraph

Sign-On Bonus Eligible: Yes

Lead Enterprise AI Strategy as a Principal Data Scientist!

Why You'll Love This Role

• 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.

A Day in the Life

• 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.

What You Bring To The Table

• 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.

What You Need

Experience:

Fifteen (15) or more years of related professional experience supporting programs and contracts of similar scope, type, and complexity.

• 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.

Education:

A PhD from an accredited college or university in a related engineering discipline (e.g., statistics, mathematics, operations research, cyber security, engineering or computer science) may be substituted for two additional years of experience.

• 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.

Clearance:

TS/SCI with Polygraph

Salary Range:

$230,000.00 - $255,000.00 (Commensurate with experience)

About Us:

DeNOVO Solutions prioritizes customer competitiveness and collaboration, offering innovative cleared personnel and solutions. As a Minority Owned-Service Disabled Veteran Owned Small Business (MO/SDVOSB), we emphasize customer success and a cooperative work environment.

• 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

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.