1

Data Scientist Project Manager Jobs in Colorado (NOW HIRING)

Data Scientist

Colorado Springs, CO · On-site

$150K - $175K/yr

Support data management activities within large-scale, enterprise data environments. Required Qualifications * Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or ...

Data Scientist

Colorado Springs, CO · On-site

$150K - $175K/yr

Support data management activities within large-scale, enterprise data environments. Required Qualifications * Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or ...

Hercules Industries is seeking a Data Scientist for a high-impact, strategic role responsible for ... to manage multiple priorities in a fast-paced environment Preferred : • Experience in supply ...

Data Scientist

Aurora, CO · On-site

$50K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with adversary defeat, mission management, metrics, and data visualization * Experience ... our projects. Within the range, your salary is determined by your individual benefits package ...

Data Scientist

Aurora, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with adversary defeat, mission management, metrics, and data visualization * Experience ... our projects. Within the range, your salary is determined by your individual benefits package ...

Environmental Data Scientist

Boulder, CO

$75K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Duties of the Environmental Data Scientist will include the following: * Data organization ... Free centralized, self-directed Learning Management System to learn at your own pace * Personalized ...

Environmental Data Scientist

Boulder, CO · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsibilities Duties of the Environmental Data Scientist will include the following: * Data ... Free centralized, self-directed Learning Management System to learn at your own pace * Personalized ...

Data Scientist

Aurora, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Understanding of database management systems * Experience in deploying models to production

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsibilities Duties of the Environmental Data Scientist will include the following: * Data ... Free centralized, self-directed Learning Management System to learn at your own pace * Personalized ...

As a healthcare consultant, you will be working independently on individual projects followed by ... You are powerful in data science, business reporting, and statistical analysis. * You are ...

You will collaborate closely with product managers, full-stack developers, platform engineers, and ... data science, machine learning engineering, or data pipeline development. * Proficient in Python ...

Showing results 21-40

Data Scientist Project Manager information

What are the key skills and qualifications needed to thrive as a data scientist project manager?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

What is a data scientist project manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

Can a data scientist become a data scientist project manager?

A data scientist can become a data scientist project manager by developing leadership, communication, and project management skills, often through experience and certifications like PMP or Agile. Transitioning typically involves gaining experience in managing projects and teams while maintaining technical expertise in data analysis and modeling.

What is the difference between Data Scientist Project Manager vs Data Analyst Project Manager?

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

How do data scientist project managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

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

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

What job categories do people searching Data Scientist Project Manager jobs in Colorado look for?

The top searched job categories for Data Scientist Project Manager jobs in Colorado are:

Infographic showing various Data Scientist Project Manager job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Data Scientist

Radiance Technologies

Colorado Springs, CO • On-site

$150K - $175K/yr

Full-time

Posted 20 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.