Data Scientist Visa Sponsorship Jobs in Colorado
Colorado's data scientist job market is anchored by Denver's growing tech sector, aerospace and defense contractors along the Front Range, and research institutions like the University of Colorado and NCAR. Companies including Lockheed Martin, Palantir, and Arrow Electronics regularly hire data scientists and have established visa sponsorship programs for qualified international candidates.
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Get Access To All JobsThe application window will be open until at least August 10, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; Chicago, IL, USA.
MINIMUM QUALIFICATIONS:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
PREFERRED QUALIFICATIONS:
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience in strategic analysis or operations management support, with experience presenting to executives.
- Experience in website analysis.
- Experience in AI platform.
ABOUT THE JOB
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
Our team helps the business make informed decisions by performing rigorous analysis, generating objective insights, and aligning stakeholders to facts. We provide a variety of services, from basic performance insights to strategic initiative support and critical business infrastructure.
Our goal is to power the business to run itself. We are evolving from a team that reports on the past into the architects of a proactive, self-optimizing support ecosystem. We are building an engine that proactively diagnoses friction, anticipates changes in advertiser needs, and enables orchestrated improvements across the support journey.
Our strategy focuses on three core pillars. Creating a trusted, unified data architecture and a clear framework for measuring success. Shifting from reactive analysis to strategic consulting, proactively identifying and prioritizing critical business opportunities. Designing closed-loop systems that diagnose issues, trigger automated solution workflows, and validate their impact. This transformation ensures problems are solved before they escalate. For our customers, this means a seamless experience. For the business, it drives unprecedented operational velocity. And for our team, it means evolving into the architects of an autonomous future.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Conduct quantitative data analysis to make product and business recommendations, including impact analysis, market and user understanding, strategic analysis, and user behavior.
- Deliver effective presentations of findings and recommendations to multiple levels of stakeholders.
- Develop, plan, and execute experiments, iteratively build and prototype ideas on the product at scale.
- Collaborate with cross-functional stakeholders to understand their business needs and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations.
- Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for scaled support.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
The application window will be open until at least August 10, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; Chicago, IL, USA.
MINIMUM QUALIFICATIONS:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
PREFERRED QUALIFICATIONS:
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience in strategic analysis or operations management support, with experience presenting to executives.
- Experience in website analysis.
- Experience in AI platform.
ABOUT THE JOB
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
Our team helps the business make informed decisions by performing rigorous analysis, generating objective insights, and aligning stakeholders to facts. We provide a variety of services, from basic performance insights to strategic initiative support and critical business infrastructure.
Our goal is to power the business to run itself. We are evolving from a team that reports on the past into the architects of a proactive, self-optimizing support ecosystem. We are building an engine that proactively diagnoses friction, anticipates changes in advertiser needs, and enables orchestrated improvements across the support journey.
Our strategy focuses on three core pillars. Creating a trusted, unified data architecture and a clear framework for measuring success. Shifting from reactive analysis to strategic consulting, proactively identifying and prioritizing critical business opportunities. Designing closed-loop systems that diagnose issues, trigger automated solution workflows, and validate their impact. This transformation ensures problems are solved before they escalate. For our customers, this means a seamless experience. For the business, it drives unprecedented operational velocity. And for our team, it means evolving into the architects of an autonomous future.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Conduct quantitative data analysis to make product and business recommendations, including impact analysis, market and user understanding, strategic analysis, and user behavior.
- Deliver effective presentations of findings and recommendations to multiple levels of stakeholders.
- Develop, plan, and execute experiments, iteratively build and prototype ideas on the product at scale.
- Collaborate with cross-functional stakeholders to understand their business needs and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations.
- Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for scaled support.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Data Scientist Job Roles in Colorado
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Search Data Scientist Jobs in ColoradoData Scientist Jobs in Colorado: Frequently Asked Questions
Which companies in Colorado sponsor visas for data scientists?
Several large employers in Colorado have active records of sponsoring work visas for data scientists. These include Lockheed Martin and Raytheon in the aerospace and defense sector, Palantir Technologies in Denver, and companies like Arrow Electronics and Dish Network. University of Colorado research divisions and national laboratories such as NREL and NOAA also hire data scientists and support visa sponsorship for qualified candidates.
Which visa types are most common for data scientist roles in Colorado?
The H-1B visa is the most common visa category for data scientists in Colorado, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field such as statistics, computer science, or mathematics. Some candidates also enter on O-1 visas for those with extraordinary ability. Australians may be eligible for the E-3 visa, and Canadian and Mexican nationals can explore the TN visa under the USMCA.
Which cities in Colorado have the most data scientist visa sponsorship jobs?
Denver is by far the most active market for data scientist sponsorship jobs in Colorado, with a dense concentration of tech companies, startups, and corporate headquarters. Boulder is a strong second, home to many research-driven companies and proximity to the University of Colorado. The Colorado Springs area also generates demand, largely tied to aerospace, defense, and cybersecurity employers operating near military installations.
How to find data scientist visa sponsorship jobs in Colorado?
Migrate Mate is specifically built to help international job seekers find visa sponsorship roles, including data scientist positions in Colorado. You can filter directly by state and role to see employers who have sponsored visas for data scientists in the region. Because Migrate Mate focuses on sponsorship-confirmed opportunities, it saves time compared to searching general job listings where sponsorship availability is unclear.
Are there any Colorado-specific factors that affect data scientist visa sponsorship?
Colorado's prevailing wage requirements under the H-1B program are set based on local wage data, and Denver and Boulder tend to have higher prevailing wage levels than many other U.S. metros, which affects what employers must pay sponsored workers. The state's strong university pipeline, including CU Boulder and Colorado State University, means employers are familiar with OPT and STEM OPT candidates, which can smooth the path to full H-1B sponsorship.
What is the prevailing wage for sponsored data scientist jobs in Colorado?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.