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Manager Data Science H1B Jobs in Colorado (NOW HIRING)

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning ...

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy robust predictive models that drive strategic business decisions. This role requires expertise ...

New

Data Scientist

Colorado Springs, CO · On-site

$150K - $175K/yr

Support data management activities within large-scale, enterprise data environments. Required Qualifications * Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or ...

Data Science Engineer

Westminster, CO · On-site

$100K - $140K/yr

Our client is currently seeking a Data Science Engineer Location : Onsite in Westminster, CO Salary ... managing false-positive behavior under degraded observations, calibrating confidence metrics ...

Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big‑data environment. * Demonstrate expert knowledge of Python ...

Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment. * Demonstrate expert knowledge of Python ...

Data Science Team Leader

Denver, CO · On-site

$155K - $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 ...

Data Science Team Leader

Denver, CO · On-site

$155K - $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 ...

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Manager Data Science H1B information

What are some common challenges faced by a manager data science in leading cross-functional projects?

A Manager Data Science often encounters challenges such as aligning stakeholders with varying technical backgrounds, ensuring data quality across different sources, and balancing project timelines with evolving business needs. Effective communication is crucial when translating complex analytical findings into actionable insights for non-technical teams. Additionally, managing and mentoring a diverse team of data scientists while fostering collaboration with engineering, product, and business departments is key to driving successful project outcomes.

What is a Manager Data Science H1B?

A Manager Data Science H1B is a professional who oversees data science teams or projects for a company in the United States while working under an H-1B visa. This role typically involves managing data scientists, coordinating analytics projects, making strategic decisions based on data, and ensuring the delivery of actionable insights. The H-1B visa allows U.S. employers to temporarily employ foreign workers in specialty occupations such as data science management. The manager is responsible for project planning, mentoring team members, and collaborating with other departments to leverage data in business decisions.

What is the difference between Manager Data Science H1B vs Data Scientist H1B?

AspectManager Data Science H1BData Scientist H1B
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; experience in team managementBachelor's or Master's in Data Science, Statistics, or related field; technical skills focus
Work EnvironmentLeads data science teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, supports business decisions
Employer & Industry UsageUsed in organizations with data teams, tech companies, finance, healthcareCommon in tech firms, consulting, research institutions

The main difference between Manager Data Science H1B and Data Scientist H1B lies in their roles and responsibilities. Managers oversee teams and strategic projects, requiring leadership skills, while Data Scientists focus on technical analysis and modeling. Both roles require strong data skills and relevant education, but the managerial position emphasizes team management and project oversight.

What are the key skills and qualifications needed to thrive as a manager data science, and why are they important?

To thrive as a Manager Data Science, you need a deep understanding of statistical analysis, machine learning, and data engineering, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages like Python or R, experience with data visualization tools (such as Tableau or Power BI), and familiarity with cloud platforms (like AWS or Azure) are commonly required, along with relevant certifications. Outstanding leadership, communication, and project management skills set top candidates apart by enabling them to lead cross-functional teams and translate complex data insights into actionable business strategies. These skills are crucial for driving data-driven decision-making and ensuring the successful delivery of analytics initiatives within an organization.
What are the most commonly searched types of Data Science H1B jobs in Colorado? The most popular types of Data Science H1B jobs in Colorado are:
What are popular job titles related to Manager Data Science H1B jobs in Colorado? For Manager Data Science H1B jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Manager Data Science H1B jobs? Cities in Colorado with the most Manager Data Science H1B job openings:
Infographic showing various Manager Data Science H1B job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution.

Manager, Data Science

Ibotta, Inc

Denver, CO • On-site

$158K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning, data analytics, and statistical modeling for internal and external partners. The ideal candidate will have experience developing and deploying models into production, the desire to serve as a leader and manager across the department, ability to evangelize data science, and willingness to provide descriptive analyses. You will also be responsible for working closely with cross-functional leaders to define and execute on Ibotta's growth strategy.
This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.
What you'll be doing:
  • Work with cross functional leadership to understand business needs and prioritize the most impactful analytical projects to drive business decisions and growth
  • Build and retain a team of highly motivated data scientists
  • Confidently speak with internal and external stakeholders about foundational models and project deliverables
  • Establish automated processes to scale insights across Ibotta
  • Balance the management of core data & analytics deliverables
  • Serve as a leader across the department, bringing operational and culture building best practices
  • Research industry trends and standards to stay abreast of new developments and proactively suggest areas of improvement
  • Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere

What we're looking for:
  • 5+ years of experience in a measurement-driven function with experience working directly with leadership
  • 2+ years of management experience
  • Bachelor's degree in computer science, data analytics, computer engineering, information systems required
  • Experience hiring, leading, developing, and retaining talent
  • Demonstrated analytical ability, conceptual thinking, and problem-solving skills. Experience in media measurement is strongly preferred
  • Strong written and verbal communication skills, able to distill complex analytical solutions into actionable insights
  • Excellent interpersonal skills with the proven ability to collaborate across functional areas
  • Curiosity and the commitment to continually ask questions of our data and business
  • Excels in a fast-paced environment with the capability to prioritize effectively
  • Industry experience causal inference, regression, A/B, ML, and/or advanced statistical modeling to build predictive and prescriptive models
  • Experience using modern data analysis tools (SQL, Python, etc.) and data visualization tools (Looker, Tableau, Mode)

Additional Details:
  • This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals.
  • Base compensation range: $158,000 - $185,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. Total compensation for this role also includes a variable component in addition to base salary.
  • Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.
  • Applicants must be currently authorized to work in the United States on a full-time basis.
  • For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.