Data Science Manager Jobs in Colorado
Data Science Manager jobs in Colorado concentrate heavily in technology, aerospace and defense, financial services, and healthcare analytics, with Denver, Boulder, and Colorado Springs anchoring the bulk of hiring activity. Established employers such as Lockheed Martin, TIAA, and UCHealth maintain long-term data science leadership teams in the state. The most in-demand specialties are machine learning platform management, healthcare data governance, and cloud-based analytics infrastructure. See the openings below and apply to the ones that match your experience.
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Showing 5 of 15+ Data Science Manager jobs
DESCRIPTION
Build innovative solutions at petabyte scale that empower global advertisers to understand and act on their campaign performance — processing billions of ad impressions, clicks, and conversion events daily using event-driven architectures on AWS. Your work powers the reporting and insights advertisers rely on every day to grow their business on Amazon.
We deliver campaign reporting for all of Amazon Advertising, producing analytics and insights that drive advertiser decision-making worldwide. Our team within Sponsored Products & Brands (SPB) manages large-scale data systems that ingest, process, and deliver performance data across billions of daily transactions. You'll build and optimize data pipelines and services using the latest AWS technologies, collaborate with scientists and product managers, and drive innovation in a fast-growing, collaborative environment with a broad mandate to experiment.
Key job responsibilities
- Design and build scalable systems that process over 50 billion events daily across petabyte-scale clusters for causal advertising measurement
- Develop and optimize causal measurement and modeling techniques — including rigorous scientific experiments and machine learning — to measure advertising effectiveness
- Architect and evolve event-driven architectures using AWS big data and ML technologies to stay ahead of rapidly growing scale
- Combine deterministic and modeled measurement approaches to deliver estimates that are fast, precise, and actionable for advertisers
- Drive technical strategy and lead architecture decisions that shape the future of causal measurement across all Amazon ad products
- Collaborate with world-class scientists and engineers to translate complex measurement challenges into scalable, production-grade solutions
- Set the engineering standard for operational excellence, system reliability, and quality at petabyte scale
About the team
This team builds the core causal measurement and modeling capabilities serving all of Amazon Ads. We work with diverse systems and languages, combining AWS services like EMR and DynamoDB with Spark and Scala. We also leverage generative AI tools to accelerate our development, testing, and deployment cycles.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CO, Boulder - 168,100.00 - 227,400.00 USD annually
DESCRIPTION
Build innovative solutions at petabyte scale that empower global advertisers to understand and act on their campaign performance — processing billions of ad impressions, clicks, and conversion events daily using event-driven architectures on AWS. Your work powers the reporting and insights advertisers rely on every day to grow their business on Amazon.
We deliver campaign reporting for all of Amazon Advertising, producing analytics and insights that drive advertiser decision-making worldwide. Our team within Sponsored Products & Brands (SPB) manages large-scale data systems that ingest, process, and deliver performance data across billions of daily transactions. You'll build and optimize data pipelines and services using the latest AWS technologies, collaborate with scientists and product managers, and drive innovation in a fast-growing, collaborative environment with a broad mandate to experiment.
Key job responsibilities
- Design and build scalable systems that process over 50 billion events daily across petabyte-scale clusters for causal advertising measurement
- Develop and optimize causal measurement and modeling techniques — including rigorous scientific experiments and machine learning — to measure advertising effectiveness
- Architect and evolve event-driven architectures using AWS big data and ML technologies to stay ahead of rapidly growing scale
- Combine deterministic and modeled measurement approaches to deliver estimates that are fast, precise, and actionable for advertisers
- Drive technical strategy and lead architecture decisions that shape the future of causal measurement across all Amazon ad products
- Collaborate with world-class scientists and engineers to translate complex measurement challenges into scalable, production-grade solutions
- Set the engineering standard for operational excellence, system reliability, and quality at petabyte scale
About the team
This team builds the core causal measurement and modeling capabilities serving all of Amazon Ads. We work with diverse systems and languages, combining AWS services like EMR and DynamoDB with Spark and Scala. We also leverage generative AI tools to accelerate our development, testing, and deployment cycles.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CO, Boulder - 168,100.00 - 227,400.00 USD annually
See All 15 Data Science Manager Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find Data Science Manager JobsData Science Manager Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
Data Science Manager Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Consulting & Professional Services
What Colorado Employers Look For
The qualifications that appear most often in data science manager jobs across Colorado.
- Bachelor's or master's degree in data science, statistics, computer science, or a related field
- Five or more years of applied data science experience with at least two in a leadership role
- Proficiency in Python, R, or SQL alongside experience with cloud platforms such as AWS or Azure
- Demonstrated ability to translate business objectives into data science roadmaps and deliverables
- Experience managing cross-functional teams including data engineers, analysts, and ML engineers
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Data Science Manager Jobs in Colorado: Frequently Asked Questions
How do you become a data science manager in Colorado?
There is no state-issued license required to work as a data science manager in Colorado. Most candidates build toward the role by earning a bachelor's or master's degree in data science, statistics, or computer science, then accumulating several years of individual-contributor experience before moving into team leadership. Colorado employers, particularly in Denver's tech corridor and Boulder's startup ecosystem, commonly promote senior data scientists or machine learning engineers who demonstrate project ownership and mentorship skills.
Which companies hire data science managers in Colorado?
Colorado data science manager roles are posted by Ibotta, Gusto, and DaVita and others right now, based on current listings on Migrate Mate as of September 2026. Colorado's mix of aerospace primes, health systems, and fintech firms means openings appear across a broader range of industries than in most states.
Which Colorado cities have the most data science manager jobs?
Denver, Boulder, and Colorado are the Colorado cities with the most data science manager openings. Denver dominates because it is home to major corporate headquarters, large health systems, and a dense fintech and tech services sector, while Boulder's concentration of research institutions and growth-stage technology companies drives strong demand in that market as well.
Are there remote data science manager jobs in Colorado?
Yes, and more than most fields. About 89% of data science manager openings tied to Colorado are remote or hybrid as of September 2026, reflecting the desk-based and collaborative nature of the role. Strategic planning, stakeholder reporting, and model review work translates well to remote settings, though some employers in aerospace and healthcare require on-site presence for data governance or compliance reasons.
How can I get hired as a data science manager in Colorado with little or no experience?
The most realistic path is moving into management from a senior individual-contributor role rather than applying to manager titles directly. Large Colorado employers such as UCHealth and Lockheed Martin hire data scientists and machine learning engineers who can build toward leadership over one to two years. A strong portfolio of end-to-end project work, combined with experience mentoring junior analysts or leading a project team, is what Colorado hiring managers treat as a substitute for formal management tenure.
Where can I find and apply to data science manager jobs in Colorado?
You can find and apply to data science manager jobs in Colorado on Migrate Mate, which lists current Colorado openings. Search the listings on this page, find the roles that fit your background and target industry, and apply directly to the ones that match.
See All 15 Data Science Manager Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find Data Science Manager Jobs