Data Science Manager Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's data science manager market is anchored by Philadelphia's financial and healthcare sectors, Pittsburgh's AI research ecosystem, and major employers like Comcast, UPMC, and JPMorgan Chase. Companies here regularly sponsor H-1B visas for senior data science roles. Philadelphia and Pittsburgh together account for most sponsorship activity in the state.
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Get Access To All JobsAre you interested in being part of an innovative team that supports Westinghouse’s mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.
ABOUT THE ROLE
As a Manager - Data Science, you will lead an international team. This team consists of data scientists and machine learning practitioners responsible for developing, experimenting with, deploying, and benchmarking AI/ML models. Additionally, they will work on prompt-engineered solutions embedded into Westinghouse digital products. You will work with Westinghouse leaders to understand business and product need to support main themes such as Asset Management, Work Management, and Business Process Optimization. Identify critical skill needs and address gaps to ensure the necessary capabilities—spanning classical ML, deep learning, and generative AI—are available to help develop scalable, production-grade model solutions.
You will report to the Director, AI Data Infrastructure and work remotely.
KEY RESPONSIBILITIES
- Engage with the Digital and Innovation (D&I) leaders to promote the D&I vision. This vision drives global Westinghouse and industry modernization. To achieve this, provide input and accomplish the digital roadmap. The roadmap aims to improve the position of Westinghouse and our customers relative to safety, profitable growth, and process efficiency.
- Assume responsibility for the success of model development, experimentation, deployment, quality assurance, and prompt engineering practices allowing Westinghouse digital solutions.
We will achieve this responsibility through:
- Lead the data science team in developing, evaluating, and deploying AI/ML models and generative AI solutions. These solutions address customer needs across multiple use cases. Ensure models are production-ready, benchmarked against clear performance criteria, and embedded into digital solutions.
- Train team members responsible for model deployment and monitoring in production. Establish best practices for experimentation, model validation, reproducibility, versioning, and responsible AI according to Westinghouse Information Technology and the AI Architecture team.
QUALIFICATIONS
- A data science, machine learning, or applied AI management background leading international team members
- Familiarity with the nuclear and energy industries
- Experience with model development, experimentation frameworks, MLOps practices, and 3rd party AI/ML platforms and foundation models
- B.S. degree in business management, computer science, data science, industrial engineering, statistics or equivalent
- 10+ years of experience in business, operations or consultation services with progression and complexity
- Microsoft Certified: Azure Data Engineer Associate helpful
- Microsoft Certified: Azure Database Administrator Associate helpful
We are committed to transparency and equity in all of our people practices. The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $130,400 to $163,000 per year.
LI-Remote
WHY WESTINGHOUSE?
Our benefits package is tailored to meet the diverse needs of our employees, while also promoting wellness and career growth. The following are representative of what we offer:
- Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options
- Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members
- 401(k) with Company Match Contributions to support employees' retirement
- Paid Vacations and Company Holidays
- Opportunities for Flexible Work Arrangements to promote work-life balance
- Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers
- Global Recognition and Service Programs to celebrate employee accomplishments and service
- Employee Referral Program
Westinghouse Electric Company is the global nuclear energy industry's first choice for safe, clean, and efficient energy solutions. We enable our delivery of this vision by living our value system:
- Safety and Quality
- Integrity and Trust
- Customer Focus and Innovation
- Speed and Passion to Win
- Teamwork and Accountability
While our Global Headquarters are located in Cranberry Township, PA, we have over 11,000 employees working at locations in 19 different countries.
Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities.
Are you interested in being part of an innovative team that supports Westinghouse’s mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.
ABOUT THE ROLE
As a Manager - Data Science, you will lead an international team. This team consists of data scientists and machine learning practitioners responsible for developing, experimenting with, deploying, and benchmarking AI/ML models. Additionally, they will work on prompt-engineered solutions embedded into Westinghouse digital products. You will work with Westinghouse leaders to understand business and product need to support main themes such as Asset Management, Work Management, and Business Process Optimization. Identify critical skill needs and address gaps to ensure the necessary capabilities—spanning classical ML, deep learning, and generative AI—are available to help develop scalable, production-grade model solutions.
You will report to the Director, AI Data Infrastructure and work remotely.
KEY RESPONSIBILITIES
- Engage with the Digital and Innovation (D&I) leaders to promote the D&I vision. This vision drives global Westinghouse and industry modernization. To achieve this, provide input and accomplish the digital roadmap. The roadmap aims to improve the position of Westinghouse and our customers relative to safety, profitable growth, and process efficiency.
- Assume responsibility for the success of model development, experimentation, deployment, quality assurance, and prompt engineering practices allowing Westinghouse digital solutions.
We will achieve this responsibility through:
- Lead the data science team in developing, evaluating, and deploying AI/ML models and generative AI solutions. These solutions address customer needs across multiple use cases. Ensure models are production-ready, benchmarked against clear performance criteria, and embedded into digital solutions.
- Train team members responsible for model deployment and monitoring in production. Establish best practices for experimentation, model validation, reproducibility, versioning, and responsible AI according to Westinghouse Information Technology and the AI Architecture team.
QUALIFICATIONS
- A data science, machine learning, or applied AI management background leading international team members
- Familiarity with the nuclear and energy industries
- Experience with model development, experimentation frameworks, MLOps practices, and 3rd party AI/ML platforms and foundation models
- B.S. degree in business management, computer science, data science, industrial engineering, statistics or equivalent
- 10+ years of experience in business, operations or consultation services with progression and complexity
- Microsoft Certified: Azure Data Engineer Associate helpful
- Microsoft Certified: Azure Database Administrator Associate helpful
We are committed to transparency and equity in all of our people practices. The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $130,400 to $163,000 per year.
LI-Remote
WHY WESTINGHOUSE?
Our benefits package is tailored to meet the diverse needs of our employees, while also promoting wellness and career growth. The following are representative of what we offer:
- Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options
- Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members
- 401(k) with Company Match Contributions to support employees' retirement
- Paid Vacations and Company Holidays
- Opportunities for Flexible Work Arrangements to promote work-life balance
- Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers
- Global Recognition and Service Programs to celebrate employee accomplishments and service
- Employee Referral Program
Westinghouse Electric Company is the global nuclear energy industry's first choice for safe, clean, and efficient energy solutions. We enable our delivery of this vision by living our value system:
- Safety and Quality
- Integrity and Trust
- Customer Focus and Innovation
- Speed and Passion to Win
- Teamwork and Accountability
While our Global Headquarters are located in Cranberry Township, PA, we have over 11,000 employees working at locations in 19 different countries.
Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities.
Data Science Manager Job Roles in Pennsylvania
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Search Data Science Manager Jobs in PennsylvaniaData Science Manager Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for data science managers in Pennsylvania?
Philadelphia-based Comcast, Vanguard, and Independence Blue Cross are active H-1B sponsors for data science leadership roles. In Pittsburgh, UPMC, PNC Financial, and Carnegie Mellon University-affiliated research organizations regularly file petitions for senior data positions. Defense contractors like Lockheed Martin, with a presence across Pennsylvania, also sponsor data science managers with advanced degrees.
Which visa types are most common for data science manager roles in Pennsylvania?
The H-1B is the most common visa for data science managers in Pennsylvania, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or applied mathematics. Candidates with outstanding research profiles or publications may also be considered for O-1A classification. Some academic and research institutions additionally support J-1 visa sponsorship.
Which cities in Pennsylvania have the most data science manager sponsorship jobs?
Philadelphia and Pittsburgh generate the majority of data science manager sponsorship opportunities in Pennsylvania. Philadelphia draws sponsorship activity from finance, insurance, healthcare, and telecom employers. Pittsburgh's strength comes from its AI and machine learning research community, anchored by Carnegie Mellon University and a growing cluster of tech companies that have established engineering offices there. Smaller markets like Malvern and Wayne, in the Philadelphia suburbs, also see activity from financial services firms.
How to find data science manager visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search data science manager roles in Pennsylvania without sorting through positions that don't sponsor. The platform surfaces employers in Philadelphia, Pittsburgh, and surrounding markets that have a documented history of H-1B filings for data science leadership roles, helping you focus your applications on companies already familiar with the sponsorship process.
Are there state-specific considerations for data science managers pursuing sponsorship in Pennsylvania?
Pennsylvania's concentration of research universities, particularly Carnegie Mellon and the University of Pennsylvania, creates a strong local talent pipeline that employers tap for data science leadership. This also means sponsors here often expect advanced degrees or demonstrated research credentials. For H-1B petitions, employers must pay the prevailing wage for a data science manager in the specific Pennsylvania metropolitan area, which is determined by Department of Labor wage surveys and varies between Philadelphia and Pittsburgh.
What is the prevailing wage for sponsored data science manager jobs in Pennsylvania?
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.