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Data Science Manager Jobs in Colorado (NOW HIRING)

bet365

Senior Data Scientist

Denver, CO · On-site

Responsibilities : • Owning the full data science lifecycle, from initial ideation and rapid ... managing datasets, training models, and deploying to Vertex AI. • Experience using collaborative ...

GRVTY

Data Scientist 3

Colorado Springs, CO

Data Processing: (Data management and curation, data description and visualization, workflow and ... science, and application specific knowledge. Through analytic modeling, statistical analysis ...

Deloitte

AI and Data Science Engineer III

Denver, CO · On-site +1

$117K - $141K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Deloitte

Data Scientist

Colorado Springs, CO

... and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Qualifications Required * Bachelor's degree, preferably in Computer Science, Information ...

Deloitte

Data Scientist

Denver, CO

... and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Qualifications Required * Bachelor's degree, preferably in Computer Science, Information ...

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 · 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 ...

GARGI TECHNOLOGIES INC

Data Scientist

Denver, CO

Roles & Responsibilities: 1. Work closely with Team Leader, data engineers, product managers, and ... science and AI space, implement them, and share learnings with other team members.

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Data Science Manager information

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$32.6K

$102.1K

$180.9K

How much do data science manager jobs pay per year?

As of Jun 12, 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 is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

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.

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 focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

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.

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 June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $102,149 per year, or $49.1 per hour.

Senior Data Scientist

bet365

Denver, CO • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Bet365 rating

9.7

Company rating: 9.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 15 rated gambling companies

Job description

Job Summary:
bet365 is one of the world's leading online gambling companies, revolutionising the industry since 2000. As a Senior Data Scientist, you will accelerate the end-to-end machine learning lifecycle, focusing on automation and advanced MLOps practices to optimize Sports and Gaming products.
Responsibilities:
• Owning the full data science lifecycle, from initial ideation and rapid prototyping in tools such as Vertex AI Workbench, to deploying production-grade models and pipelines that are robust, scalable, and automated.
• Leading the implementation of advanced MLOps principles within our Google Cloud environment, designing, building, and maintaining CI/CD/CT pipelines for automated model deployment using Vertex AI Pipelines and other GCP services.
• Partnering proactively with stakeholders in Product, Responsible Gaming, Trading, and other teams to identify high impact opportunities and translate complex business needs into tangible data science use cases.
• Building and implementing frameworks for automated model testing, validation, and monitoring using tools such as Vertex AI Model Monitoring to detect drift and ensure performance at scale.
• Designing, implementing, and rigorously analyzing A/B tests and other experiments to measure the impact of models and strategies, ensuring data-driven solutions deliver clear, quantifiable value.
• Researching and championing the adoption of innovative data science and MLOps techniques, tools, and methodologies that solve problems efficiently, prioritizing impact over complexity.
• Acting as a technical leader and mentor for other data scientists, fostering a culture of continuous learning and high-velocity execution.
Qualifications:
Required:
• PhD or MSc in a quantitative field such as Computer Science, Statistics, or Engineering, or equivalent industry experience delivering complex data science projects.
• Demonstrable experience deploying and maintaining machine learning systems in a production environment with measurable business impact.
• Strong programming skills in Python and deep expertise in data science libraries such as, Scikit-learn, Pandas, NumPy, XGBoost.
• Advanced proficiency in SQL, with hands-on experience querying and manipulating large, complex datasets, preferably with Google BigQuery.
• Extensive hands-on experience with Google Cloud Platform (GCP), including building and automating ML workflows with Vertex AI pipelines, managing datasets, training models, and deploying to Vertex AI.
• Experience using collaborative development environments such as Vertex AI Workbench for rapid prototyping, exploration, and analysis.
• Experience leveraging other core GCP services such as BigQuery, Cloud Storage, and Cloud Functions to build end-to-end data solutions.
• Solid understanding of CI/CD principles and tools such as Cloud Build or GitLab CI for automating ML workflows.
• Experience with containerization such as Docker, Kubernetes/GKE.
Company:
Bet365 is an online gambling company that offers comprehensive in-play services for its clients. Founded in 2001, the company is headquartered in Stoke-on-trent, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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