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Data Science Manager Jobs in Colorado (NOW HIRING)

Fanatics Betting & Gaming

Data Scientist III

Denver, CO · On-site

$117K - $167K/yr

The role reports into the Decision Science Manager and will focus on creating insight to drive the ... Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for ...

Fanatics Betting & Gaming

Data Scientist III

Denver, CO · On-site

$117K - $167K/yr

The role reports into the Decision Science Manager and will focus on creating insight to drive the ... Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for ...

Fanatics Betting & Gaming

Data Scientist III

Denver, CO · On-site

$117K - $167K/yr

The role reports into the Decision Science Manager and will focus on creating insight to drive the ... Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for ...

Crocs

Senior Manager, Data Science & AI

Broomfield, CO · On-site

Overview Crocs is seeking a Senior Manager, Supply Chain Data Science & AI to lead the development and scaling of AI-driven capabilities across our global supply chain. This role will drive the ...

Holland & Hart

Data Manager

Denver, CO · On-site

Modern Analytics & Data Science: * Manage and advise on the data ingestion process into various systems for analysis. * Deliver and provide strategic guidance on meaningful reports, dashboards, and ...

Crocs

Senior Manager, Data Science & AI

Broomfield, CO · On-site +1

Overview Crocs is seeking a Senior Manager, Supply Chain Data Science & AI to lead the development and scaling of AIdriven capabilities across our global supply chain. This role will drive the ...

bet365

Data Science Team Leader

Denver, CO · On-site

$165K/yr

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Excellent stakeholder management is paramount. You will work as a key collaborative partner ...

bet365

Data Science Team Leader

Denver, CO · On-site

$165K/yr

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Excellent stakeholder management is paramount. You will work as a key collaborative partner ...

bet365

Data Science Team Leader

Denver, CO

As the Data Science Team Leader, you will be a critical part of our expanding global data ... Excellent stakeholder management is paramount. You will work as a key collaborative partner ...

Apply Early

bet365

Senior Data Scientist

Denver, CO · On-site

$135K - $150K/yr

The data science team is at the forefront of driving business decisions, we are now scaling our ... managing datasets, training models, and deploying to Vertex AI. * Experience using collaborative ...

bet365

Senior Data Scientist

Denver, CO · On-site

$135K - $150K/yr

The data science team is at the forefront of driving business decisions, we are now scaling our ... managing datasets, training models, and deploying to Vertex AI. * Experience using collaborative ...

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All 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 3, 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

Data Scientist III

Fanatics Betting & Gaming

Denver, CO • On-site

$117K - $167K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About the Team

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

We are seeking a Data Scientist III to join our growing Data Science organization on our newly formed Decision Science team. The role reports into the Decision Science Manager and will focus on creating insight to drive the growth of the business, partnering closely with senior commercial stakeholders and their teams. Supporting commercial and analytics stakeholders with high level Sportsbook & Casino strategy will be a top priority for this Data Scientist, as well as providing ongoing analysis and recommendations to stakeholders. 

Responsibilities

  • Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior.
  • Build strong relationships with stakeholders across both Sports and Casino business units, serving as a key technical contributor to driving total commercial performance.
  • Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems.
  • Contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite.
  • Build and maintain sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency.
  • Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry.

Experience and Skills

  • A minimum of 3-5 years proven experience in a data science or advanced analytics role.
  • Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer Science, Economics.
  • Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models.
  • Strong understanding of statistics concepts such as regression, clustering, and A/B testing in high-growth environments.
  • Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling to determine true incremental value.
  • Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and clear communication.
  • Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments.

Preferred but not required

  • Experience experimenting with Generative AI solutions (e.g., LLM-based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment.
  • Previous experience in iGaming (Sportsbook or Casino), or previous experience with Customer Lifetime Value models is a significant plus.

Salary range is listed in USD; ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. *Salary Range: $117,000 to $167,000 (Salary range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual Offer is confirmed). In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

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