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Junior Data Protection Analyst Jobs in Colorado (NOW HIRING)

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... junior team members best practices and techniques * Ability to process data objectively and ...

Lead AI and Data Science Engineer II

Denver, CO · On-site

$105K - $139K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings. * Provide structure and oversight for ...

Junior Business Analyst [Local to CO]

Denver, CO · On-site

$27.25 - $36.50/hr

Title: Junior Business Analyst Duration: 6 Mos (likely extension & possible conversion to FTE ... data-driven decision-making - Define and analyze key performance trends, then utilize Kiro AI to ...

Signals Data Analyst, Mid

Aurora, CO · On-site

$69K - $158K/yr

Review or guide activities of more junior employees. You Have: * 2+ years of experience with signal ... and protect against identity fraud. You are expected to be on camera during interviews and ...

Showing results 41-60

Junior Data Protection Analyst information

What is the difference between Junior Data Protection Analyst vs Data Privacy Specialist?

AspectJunior Data Protection AnalystData Privacy Specialist
CertificationsBasic data protection and privacy certifications (e.g., CIPP/US, CIPM)Similar certifications, often more advanced or specialized
Work EnvironmentEntry-level role, supporting data protection initiatives within organizationsFocused on privacy compliance, policy development, and risk assessment
Employer & Industry UsageCommon in tech, finance, healthcare sectorsUsed across industries with strong privacy regulations
Search & Comparison IntentUnderstanding entry-level data protection rolesClarifying privacy compliance responsibilities

The Junior Data Protection Analyst typically handles foundational data protection tasks, supporting compliance efforts. In contrast, a Data Privacy Specialist often focuses on developing privacy policies and ensuring regulatory adherence. Both roles require similar certifications and are prevalent in regulated industries, but they differ in scope and seniority.

What are the most commonly searched types of Data Protection Analyst jobs in Colorado? The most popular types of Data Protection Analyst jobs in Colorado are:
What job categories do people searching Junior Data Protection Analyst jobs in Colorado look for? The top searched job categories for Junior Data Protection Analyst jobs in Colorado are:
What cities in Colorado are hiring for Junior Data Protection Analyst jobs? Cities in Colorado with the most Junior Data Protection Analyst job openings:
Infographic showing various Junior Data Protection Analyst job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

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

DeNOVO Solutions LLC

Aurora, CO • On-site

$145K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


Job description

Position: Data Scientist Engineer - Sr
Location: Aurora, CO
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 & 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: 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 & 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.
Pay Range: $145,000 - $175,000 per year