ZipRecruiter

Log In

1

Data Science Junior Jobs in Colorado (NOW HIRING)

NuView Analytics

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

... junior team members best practices and techniques * Ability to process data objectively and efficiently * Intellectually curious about new data tools and data analytics/science strategies

NuView

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

... junior team members best practices and techniques * Ability to process data objectively and efficiently * Intellectually curious about new data tools and data analytics/science strategies

USAA

Data Scientist Senior

Colorado Springs, CO · On-site

Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. * Participates in internal communities that drive the maintenance and transformation of data science ...

Medium

$85 - $120/hr

As a junior contributor, you will work on a variety of data-driven projects and help implement ... Bachelor's degree in data science, Statistics, Mathematics, or a related field. Experience

New

Pwc

Payer Healthcare Data Scientist, Manager

Denver, CO

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... junior staff while securing project success and maintaining exemplary standards. This role offers ...

University of Colorado

Research Scientist

Aurora, CO · On-site +1

Mentor students, trainees, research staff, and junior investigators in experimental design ... Apply machine learning, data science, and computational biology techniques to investigate ...

previous pagenext page

Showing results 21-40

All JobsData Science JobsData Science Junior JobsData Science Junior Jobs in Colorado

Data Science Junior information

See Colorado salary details

$36.3K

$83.4K

$134.1K

How much do data science junior jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data science junior in Colorado is $83,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $85,700.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a data science junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

What is a data science junior?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the key skills and qualifications needed to thrive as a data science junior?

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

What are the most commonly searched types of Data Science jobs in Colorado?

The most popular types of Data Science jobs in Colorado are:

What are popular job titles related to Data Science Junior jobs in Colorado?

For Data Science Junior jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Data Science Junior jobs in Colorado look for?

The top searched job categories for Data Science Junior jobs in Colorado are:

What cities in Colorado are hiring for Data Science Junior jobs?

Cities in Colorado with the most Data Science Junior job openings:

Data Science Junior jobs near you
Infographic showing various Data Science Junior job openings in Colorado as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $83,440 per year, or $40.1 per hour.

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

DeNOVO Solutions LLC

Aurora, CO • On-site

$145K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

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

Apply