1

Experienced Data Scientist Jobs in Colorado (NOW HIRING)

Data Scientist

Colorado Springs, CO ยท On-site

$150K - $175K/yr

Radiance Technologies, a rapidly growing employee-owned company, is seeking an experienced Data Scientist to support the U.S. Army Space and Missile Defense Command (USASMDC) at Peterson Space Force ...

Data Scientist

Colorado Springs, CO ยท On-site

$155K - $190K/yr

Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment. * Demonstrate expert knowledge of Python ...

Data Scientist

Colorado Springs, CO ยท On-site

$155K - $190K/yr

Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment. * Demonstrate expert knowledge of Python ...

Data Scientist

Boulder, CO ยท On-site

$130K - $160K/yr

Product Pulse is seeking a Data Scientist to help us unlock the value in our data.WHAT YOU NEED TO ... Experience with big data tools is a plus.APPLY TODAY If you're ready to make data actionable and ...

Experience applying statistical or data science methodologies such as regression, hypothesis testing, sampling, longitudinal analysis, clustering, classification, or predictive modeling. Experience ...

New

The Data Scientist partners closely with Operations, Engineering, Capacity Planning, Finance ... Experience working with large-scale operational, IoT, or industrial datasets strongly preferred.

The Data Scientist partners closely with Operations, Engineering, Capacity Planning, Finance ... Experience working with large-scale operational, IoT, or industrial datasets strongly preferred.

Data Scientist

Aurora, CO ยท On-site

$77K - $176K/yr

Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources * Experience leading the development of solutions to complex programs * Experience with ...

Data Scientist

Aurora, CO ยท On-site

$77K - $176K/yr

Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources * Experience leading the development of solutions to complex programs * Experience with ...

They are seeking a Data Scientist to join the team full-time to work with other Data Science and ... Compensation Range (pending experience): $130-168k plus a strong bonus and top tier 401k match ...

Data Scientist

Aurora, CO ยท On-site +1

$77K - $176K/yr

Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources * Experience leading the development of solutions to complex programs * Experience with ...

Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources * Experience leading the development of solutions to complex programs * Experience with ...

They are seeking a Data Scientist to join the team full-time to work with other Data Science and ... Compensation Range (pending experience): $130-168k plus a strong bonus and top tier 401k match ...

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

next page

Showing results 1-20

Experienced Data Scientist information

See Colorado salary details

$48.4K

$173.5K

$256K

How much do experienced data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for experienced data scientist in Colorado is $173,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,400.00 and $178,800.00 per year, depending on experience, location, and employer.

What is an experienced data scientist?

Experienced data scientists are professionals who have a strong background in data analysis, statistical modeling, and machine learning, typically with several years of industry experience. They use advanced analytical techniques to extract insights from complex data sets, helping organizations make data-driven decisions. In addition to technical skills, they often possess domain expertise, strong problem-solving abilities, and experience in communicating their findings to both technical and non-technical stakeholders. Their work may involve designing experiments, building predictive models, and deploying machine learning solutions in production environments.

What are the key skills and qualifications needed to thrive as an experienced data scientist?

To thrive as an Experienced Data Scientist, you need advanced statistical analysis, machine learning expertise, strong programming skills (often in Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL, and cloud platforms, as well as certifications in data science or analytics, are commonly expected. Outstanding problem-solving, communication skills, and business acumen help you translate complex data insights into actionable strategies. These skills are essential for delivering impactful solutions and driving data-informed decision-making within organizations.

What are some typical challenges an experienced data scientist faces when working on cross-functional teams?

Experienced data scientists often collaborate with cross-functional teams, such as product managers, engineers, and business analysts. A common challenge in this environment is effectively communicating complex analytical findings in a way that is actionable for non-technical stakeholders. Additionally, aligning data science objectives with broader business goals and navigating differing priorities can require strong negotiation and project management skills. Overcoming these challenges is key to ensuring that data-driven insights are not only understood but also implemented to drive impact.

What is the difference between Experienced Data Scientist vs Data Analyst?

AspectExperienced Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often certifications in machine learning or data analysisBachelor's degree in Statistics, Mathematics, or related fields; certifications are optional
Work EnvironmentDevelops models, algorithms, and predictive analytics; works on complex data projectsPrepares reports, visualizations, and performs data cleaning and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and business intelligence

In summary, an Experienced Data Scientist typically handles advanced analytics, machine learning, and predictive modeling, requiring more technical skills and higher education. Data Analysts focus on data cleaning, reporting, and visualization, often with less emphasis on complex modeling. Both roles are essential but differ in scope and technical depth.

How much do experienced data scientists make?

Experienced data scientists typically earn between $100,000 and $150,000 annually, with salaries increasing based on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or big data tools can command higher compensation, often exceeding $160,000 per year.

What are popular job titles related to Experienced Data Scientist jobs in Colorado?

For Experienced Data Scientist jobs in Colorado, the most frequently searched job titles are:

Data Scientist

Radiance Technologies

Colorado Springs, CO โ€ข On-site

$150K - $175K/yr

Full-time

Re-posted 5 days ago


Job description

Radiance Technologies, a rapidly growing employee-owned company, is seeking an experienced Data Scientist to support the U.S. Army Space and Missile Defense Command (USASMDC) at Peterson Space Force Base, Colorado. This position supports a customer-funded, one-year effort with an anticipated period of performance from August 1, 2026, through July 31, 2027. The selected candidate will apply advanced data analytics techniques to support national security missions by researching and analyzing structured and unstructured data, developing complex database queries, and transforming data into actionable insights. Working as part of a multidisciplinary team, the Data Scientist will collaborate with Government and contractor personnel to integrate diverse data sources, solve complex mission challenges, and communicate analytical findings and recommendations to stakeholders.

Duties and Responsibilities

  • Perform research on structured and unstructured data sources using quantitative and qualitative metadata and content analytics.
  • Construct and execute complex database queries to support mission requirements.
  • Collaborate across multidisciplinary teams to integrate data sources and solve mission challenges.
  • Identify meaningful insights from large datasets and communicate findings and recommendations to Government stakeholders.
  • Support data management activities within large-scale, enterprise data environments.

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another relevant STEM discipline (or equivalent experience).
  • Five (5) or more years of experience as a Data Scientist or in a closely related analytical role.
  • Demonstrated knowledge of computer science concepts, data architecture, intelligence practices, and managing data within big-data environments.
  • Experience performing complex data analysis and database queries.
  • Active Top Secret/SCI security clearance.

Position Duration

This position supports a customer-funded effort with an anticipated period of performance from August 1, 2026 through July 31, 2027. Employment is expected to conclude upon completion of the customer requirement. While Radiance cannot guarantee follow-on work after the period of performance, employees are welcome to apply for other open positions within the company for which they are qualified.

Salary Range

$150,000 - $175,000

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.