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Data Science Manager Jobs in Colorado (NOW HIRING)

SPECTRUM

Data Scientist V

Greenwood Village, CO

$88K/yr

... data science principles and techniques to inform business strategies * Assist in creating and presenting data insights and actionable recommendations to stakeholders * Plan, manage and monitor ...

New

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

Data Processing: (Data management and curation, data description and visualization, workflow and ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

GRVTY

Data Scientist 3

Colorado Springs, CO

$155K - $185K/yr

Data Processing: (Data management and curation, data description and visualization, workflow and ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

SPECTRUM

Data Scientist IV

Greenwood Village, CO

$88K/yr

Plan, manage, and monitor independent projects from concept through implementation  * Apply ... Bachelor's degree in computer science, statistics, operations research and/or equivalent ...

New

SPECTRUM

Data Scientist IV

Greenwood Village, CO

$88K/yr

Plan, manage, and monitor independent projects from concept through implementation  * Apply ... Bachelor's degree in computer science, statistics, operations research and/or equivalent ...

New

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Colorado

Data Science Manager information

See Colorado salary details

$32.6K

$102.1K

$180.9K

How much do data science manager jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data science manager in Colorado is $102,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $132,000.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

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

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

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 Manager jobs in Colorado? For Data Science Manager jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Colorado look for? The top searched job categories for Data Science Manager jobs in Colorado are:
What cities in Colorado are hiring for Data Science Manager jobs? Cities in Colorado with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager 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 $102,149 per year, or $49.1 per hour.

Data Scientist IV

Product and Technology

Greenwood Village, CO • On-site

$88K - $156K/yr

Full-time

Posted 2 days ago

Job description

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Are you ready to harness your analytical and programming skills to create data-driven solutions that tackle Spectrum’s business challenges? You could be a fit for our Data Scientist IV role. In this position you will work alongside network engineers, software engineers, and operations teams to develop data-driven approaches to identify customer impairments, improve network reliability, and support automation of issue detection. You will utilize analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results.


How You’ll Make an Impact 
  • Partner on the design and implementation of statistical data quality procedures for existing and new data sources 
  • Research and apply knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions 
  • Develop Machine Learning (ML) models to detect and predict network issues affecting customer experience 
  • Assist in designing and optimizing feature engineering to extract meaningful insights from raw telemetry data 
  • Assist in the creation and presentation of data insights and recommendations to key stakeholders 
  • Plan, manage, and monitor independent projects from concept through implementation 
  • Apply appropriate level of data maintenance, data quality control and validation of code, tools, and models as directed 
 
 
Working Conditions 
  • Office environment 

What You’ll Bring to Spectrum 
 
Required Qualifications 
 
Education 
  • Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience 
Experience 
  • 2+ years data science experience 
  • 2+ years programming experience 
Skills 
  • Ability to perform in-depth and independent research and analysis with oversight 
  • Demonstrated ability to apply core data science principles and machine learning techniques (regression, decision trees, clustering, time series, SVMs, neural networks) with minimal guidance 
  • Ability to use a data science toolkit such as Python, R, SQL; and have demonstrated learning of additional languages or advanced functionality 
  • Demonstrated ability to work in cloud-based infrastructures 
  • Experience with big data tools such as Spark and Hive 
  • Strong background in mathematical and statistical concepts and demonstrated ability to apply techniques with oversight 
  • Command of development of data tools and models, scripting, analysis and ETL, and ability to synthesize complex code with guidance. 
  • Knowledge of statistical techniques and machine learning algorithms 
  • Demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise 

#LI-KB2
BDA328 2026-74894 2026
Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.
A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
This job posting will remain open until 2026-07-26 04:38 PM (UTC) and will be extended if necessary.
The base pay for this position generally is between $88,200.00 and $156,600.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.
Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more.

Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
Qualifications:
What You’ll Bring to Spectrum 
 
Required Qualifications 
 
Education 
  • Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience 
Experience 
  • 2+ years data science experience 
  • 2+ years programming experience 
Skills 
  • Ability to perform in-depth and independent research and analysis with oversight 
  • Demonstrated ability to apply core data science principles and machine learning techniques (regression, decision trees, clustering, time series, SVMs, neural networks) with minimal guidance 
  • Ability to use a data science toolkit such as Python, R, SQL; and have demonstrated learning of additional languages or advanced functionality 
  • Demonstrated ability to work in cloud-based infrastructures 
  • Experience with big data tools such as Spark and Hive 
  • Strong background in mathematical and statistical concepts and demonstrated ability to apply techniques with oversight 
  • Command of development of data tools and models, scripting, analysis and ETL, and ability to synthesize complex code with guidance. 
  • Knowledge of statistical techniques and machine learning algorithms 
  • Demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise 
Employment Type: Full Time

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