Data Science Manager Visa Sponsorship Jobs in North Carolina
North Carolina's data science manager job market is anchored by Research Triangle Park, one of the largest research and technology hubs in the United States, drawing employers like Lenovo, SAS Institute, and Fidelity Investments. Charlotte's growing financial sector and Raleigh-Durham's concentration of life sciences and tech firms create consistent demand for senior data science talent with visa sponsorship.
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Get Access To All JobsAssociate Data Science Product Manager
Launch Program Overview
Skip the “entry-level grunt-work” and start making a real impact on Day 1. The Launch Program is your opportunity to onboard into your full-time role at Red Ventures in a cohort-style environment that provides in-depth training on our beliefs, culture, business model, and leadership. Your first few weeks will be spent alongside a cross-functional cohort of new Red Ventures employees starting their careers across various roles and teams. These individuals will become your built-in support system and community as you navigate the start of your career with us. After your initial onboarding period, you’ll join one of our teams, meet your manager and mentor, and find unparalleled opportunities to make a substantial impact and quickly advance your career. We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position offers you hands-on opportunities in data science, data analysis, and product management. In your first two years, you’ll get repetitions in contributing to product life cycles via product analytics, roadmap support, model building, and influential communication with product leadership.
As an Associate Data Science Product Manager, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers.
- Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action.
- Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead.
- Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as:
- Data pipelines to gather, manipulate, prepare, and visualize large datasets
- Machine learning models for offline and proof-of-concept use cases
- Agentic workflows to automate tasks or for reasoning capabilities for specific features in your product
- End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative.
- Promote adoption and usage of your product and tooling. Interact directly with end-users for training, feedback, and user testing.
- Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges.
Who You Are
- Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation.
- Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles.
- Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact.
- Showcases high EQ - can collaborate effectively in a team environment.
Experiences You’ve Had
- Graduating with a bachelor's or master's degree in Summer 2026, with academic and/or practical experience in fields such as computer science, data science, statistics, or product management. (Start date in our August 2026 cohort)
- Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau).
- Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT). Thorough knowledge in statistics and machine learning techniques.
- Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences.
- Exposure to and/or interest in technical development of software components and production models to learn how to form opinions on level of effort and feasibility.
Compensation
This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications.
- Total Cash Compensation: $100,000 per year
Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
- Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.
Who We Are
Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe and Puerto Rico. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, RV Education and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees.
At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.
If you are based in California, we encourage you to read this important information for California residents linked here. Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.
Associate Data Science Product Manager
Launch Program Overview
Skip the “entry-level grunt-work” and start making a real impact on Day 1. The Launch Program is your opportunity to onboard into your full-time role at Red Ventures in a cohort-style environment that provides in-depth training on our beliefs, culture, business model, and leadership. Your first few weeks will be spent alongside a cross-functional cohort of new Red Ventures employees starting their careers across various roles and teams. These individuals will become your built-in support system and community as you navigate the start of your career with us. After your initial onboarding period, you’ll join one of our teams, meet your manager and mentor, and find unparalleled opportunities to make a substantial impact and quickly advance your career. We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position offers you hands-on opportunities in data science, data analysis, and product management. In your first two years, you’ll get repetitions in contributing to product life cycles via product analytics, roadmap support, model building, and influential communication with product leadership.
As an Associate Data Science Product Manager, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers.
- Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action.
- Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead.
- Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as:
- Data pipelines to gather, manipulate, prepare, and visualize large datasets
- Machine learning models for offline and proof-of-concept use cases
- Agentic workflows to automate tasks or for reasoning capabilities for specific features in your product
- End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative.
- Promote adoption and usage of your product and tooling. Interact directly with end-users for training, feedback, and user testing.
- Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges.
Who You Are
- Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation.
- Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles.
- Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact.
- Showcases high EQ - can collaborate effectively in a team environment.
Experiences You’ve Had
- Graduating with a bachelor's or master's degree in Summer 2026, with academic and/or practical experience in fields such as computer science, data science, statistics, or product management. (Start date in our August 2026 cohort)
- Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau).
- Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT). Thorough knowledge in statistics and machine learning techniques.
- Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences.
- Exposure to and/or interest in technical development of software components and production models to learn how to form opinions on level of effort and feasibility.
Compensation
This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications.
- Total Cash Compensation: $100,000 per year
Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
- Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.
Who We Are
Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe and Puerto Rico. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, RV Education and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees.
At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.
If you are based in California, we encourage you to read this important information for California residents linked here. Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.
Data Science Manager Job Roles in North Carolina
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Search Data Science Manager Jobs in North CarolinaData Science Manager Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for data science managers in North Carolina?
Employers with a track record of sponsoring data science manager roles in North Carolina include SAS Institute, Lenovo, Fidelity Investments, Red Hat, Cisco, and large health systems like Duke Health and UNC Health. Pharmaceutical and biotech firms concentrated around Research Triangle Park, including Syneos Health and Biogen, also regularly file H-1B visa petitions for senior data science positions.
Which visa types are most common for data science manager roles in North Carolina?
The H-1B is the most common visa category for data science managers in North Carolina, as the role consistently qualifies as a specialty occupation requiring a relevant bachelor's degree or higher. Candidates already holding L-1A status through multinational employers, or those with O-1 visa classification based on extraordinary ability, may also find pathways. Employer-sponsored green card processes, typically through the EB-2 or EB-3 categories, are common for longer-term hires.
Which cities in North Carolina have the most data science manager sponsorship jobs?
Raleigh and Durham account for the majority of data science manager sponsorship activity in North Carolina, driven by Research Triangle Park and its cluster of technology, pharmaceutical, and government-adjacent employers. Charlotte follows as a secondary hub, particularly in financial services and analytics. Chapel Hill also generates demand through university-affiliated research organizations and the health sector tied to UNC.
How to find data science manager visa sponsorship jobs in North Carolina?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify data science manager openings in North Carolina without sifting through roles that don't support international candidates. You can narrow results by location and role type to focus on Research Triangle Park employers, Charlotte's finance sector, or health system positions, all of which represent the state's primary sponsoring industries for this role.
What should international candidates know about the data science manager market in North Carolina?
North Carolina's H-1B prevailing wage requirements for data science manager roles are determined by the Department of Labor and reflect the Raleigh-Durham and Charlotte metropolitan area wage levels, which tend to be competitive but lower than coastal tech markets. The state's university pipeline, particularly NC State, Duke, and UNC, means employers are accustomed to hiring internationally educated candidates, which can work in your favor when approaching sponsorship conversations.
What is the prevailing wage for sponsored data science manager jobs in North Carolina?
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.