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Data Science Engineer Jobs in Colorado (NOW HIRING)

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

DEEP DIVE INTO THIS ROLE As a Data Scientist, you'll analyze large datasets, develop predictive models, and work with engineering teams to integrate your solutions into production. Key ...

CACi

Data Scientist - Mid

Denver, CO

$69K - $141K/yr

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee ... Grow your skills alongside senior data scientists, engineers, and mission stakeholders.

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

We are seeking a Data Scientist to support our NLP project focused on accurate and automatic ... Computer Science or a degree in a related field (Computer Information Systems, Engineering), a ...

ALKEME Insurance

Data engineer

Denver, CO · On-site

$117K - $141K/yr

Required : • Bachelor's or Master's degree in Computer Science, Engineering, or a related field ... experience in data engineering • Strong programming skills in Python, Java, or Scala • ...

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All JobsData Science Engineer JobsData Science Engineer Jobs in Colorado

Data Science Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do data science engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data science engineer in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What are the most commonly searched types of Data Science Engineer jobs in Colorado? The most popular types of Data Science Engineer jobs in Colorado are:
What are popular job titles related to Data Science Engineer jobs in Colorado? For Data Science Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Colorado look for? The top searched job categories for Data Science Engineer jobs in Colorado are:
What cities in Colorado are hiring for Data Science Engineer jobs? Cities in Colorado with the most Data Science Engineer job openings:
Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.
Senior Data Scientist Engineer (TS/SCI with CI Polygraph)

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

DeNOVO Solutions

Aurora, CO

$145K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 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 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.

Apply