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Manager Data Scientist Jobs in Colorado (NOW HIRING)

Radiance Technologies

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 ...

Vantage Data Centers LLC

Data Scientist, NA

Denver, CO · On-site

$140 - $150/hr

Handle additional duties as assigned by management.**Job Requirements*** Bachelor's degree in a quantitative discipline.* Master's degree preferred.* 5-8+ years of experience in data science, machine ...

Vantage Data Centers

Data Scientist, NA

Denver, CO

Handle additional duties as assigned by management. Job Requirements * Bachelor's degree in a quantitative discipline. * Master's degree preferred. * 5-8+ years of experience in data science, machine ...

Vantage Data Centers

Data Scientist, NA

Denver, CO · On-site

Handle additional duties as assigned by management. Job Requirements * Bachelor's degree in a quantitative discipline. * Master's degree preferred. * 5-8+ years of experience in data science, machine ...

Cacheflow

Manager, Data Science

Denver, CO · On-site

$158 - $185/hr

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning ...

Hercules Industries

Data Scientist

Denver, CO · On-site

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 ...

Ibotta, Inc.

Manager, Data Science

Denver, CO · On-site

$158 - $185/hr

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning ...

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Manager Data Scientist information

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

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

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

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

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

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

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

What cities in Colorado are hiring for Manager Data Scientist jobs?

Cities in Colorado with the most Manager Data Scientist job openings:

Manager Data Scientist jobs near you
Infographic showing various Manager Data Scientist job openings in Colorado as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Data Scientist

Radiance Technologies

Colorado Springs, CO

$150K - $175K/yr

Full-time

Posted 26 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.

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