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Manager Data Science H1B Jobs in Colorado (NOW HIRING)

Hercules Industries

Data Scientist

Denver, CO · On-site

Required : • Bachelor's degree in data science, Statistics, Mathematics, Engineering, Economics ... to manage multiple priorities in a fast-paced environment Preferred : • Experience in supply ...

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 ...

AMERICAN SYSTEMS

CO · On-site

$135K/yr

... Science, Information Systems, Data Science, Software Engineering, or a closely related field, OR • Equivalent DoD/Military training in project management, product support, logistics, or a related ...

GRVTY

Data Scientist 3

Colorado Springs, CO

$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 ...

AMERICAN SYSTEMS

CO · On-site

$135K/yr

... Science, Information Systems, Data Science, Software Engineering, or a closely related field, OR • Equivalent DoD/Military training in project management, product support, logistics, or a related ...

SPECTRUM

Data Scientist IV

Greenwood Village, CO · On-site

$88K/yr

Plan, manage, and monitor independent projects from concept through implementation  * Apply ... Bachelor's degree in computer science, statistics, operations research and/or equivalent ...

Ball

Senior Manager, Data Management

Westminster, CO · On-site

The Senior Manager, Data Management leads the enterprise Data Management function encompassing ... Bachelor's degree required in Information Systems, Business Analytics, Computer Science, Business ...

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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 job categories do people searching Manager Data Science H1B jobs in Colorado look for? The top searched job categories for Manager Data Science H1B jobs in Colorado 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:
Manager Data Science H1B jobs near you
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.

Data Scientist

Hercules Industries

Denver, CO • On-site

Full-time

Re-posted 3 days ago

Hercules Industries rating

8.1

Company rating: 8.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

152nd of 487 rated machine equipment manufacturers

Job description

Job Summary:
Hercules Industries is seeking a Data Scientist for a high-impact, strategic role responsible for identifying, developing, and deploying data-driven solutions. The position focuses on driving measurable business value through advanced modeling and insight generation, partnering with leadership across various functions to enhance decision-making and performance.
Responsibilities:
• Partner with executive and functional leaders to identify high-impact opportunities for data-driven transformation
• Translate ambiguous business challenges into structured analytical problem statements
• Quantify potential business value (inventory, service, margin, cash flow)
• Prioritize initiatives based on strategic importance and return
• Design, build, and deploy predictive and prescriptive models, including: Demand forecasting, Inventory optimization (safety stock, EOQ/MOQ, multi-echelon), Supplier performance and lead time variability, Operational efficiency and throughput optimization, Pricing segmentation and optimization, Estimating tools and economic optimization models
• Apply statistical, machine learning, and optimization techniques
• Ensure models are scalable, interpretable, and aligned with business realities
• Perform exploratory data analysis to identify trends, anomalies, and root causes
• Partner with Data Engineering to ensure clean, reliable datasets
• Identify and address data gaps and integrity issues
• Build datasets and structures for ongoing decision-making
• Translate analytical outputs into clear, actionable insights
• Embed models into business processes (SIOP, purchasing, planning, inventory)
• Drive adoption through usability and alignment with workflows
• Support leadership decision-making with data-driven recommendations
• Challenge legacy processes and identify step-change improvements
• Lead or support initiatives related to forecasting, inventory, service, and digital enablement
• Contribute to building a data-driven culture
• Present findings and recommendations to senior leadership
• Communicate complex concepts in clear business terms
• Influence cross-functional stakeholders to adopt new approaches
Qualifications:
Required:
• Bachelor’s degree in data science, Statistics, Mathematics, Engineering, Economics, or related field (Master’s preferred)
• 3–7+ years of experience in data science, advanced analytics, or related field
• Experience applying statistical modeling, machine learning, and optimization techniques
• Experience working with large datasets and data visualization tools
• Strong business acumen with ability to translate data into actionable insights
• Proficiency in tools such as Python, R, SQL, and data visualization platforms
• Strong problem-solving and analytical thinking skills
• Ability to manage multiple priorities in a fast-paced environment
Preferred:
• Experience in supply chain, operations, or manufacturing environments
Company:
Hercules Industries is a wholesale company that offers HVAC sheet metal and HVAC equipment. Founded in 1962, the company is headquartered in Denver, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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