Data Science Engineer Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's data science engineer job market is anchored by Philadelphia's finance and healthcare sectors, Pittsburgh's growing tech and AI research scene, and major employers like Comcast, SEI Investments, and Carnegie Mellon University's affiliated research centers. International candidates will find active H-1B visa sponsorship activity across both cities, particularly in enterprise software, health informatics, and financial analytics.
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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 Engineer Job Roles in Pennsylvania
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Search Data Science Engineer Jobs in PennsylvaniaData Science Engineer Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Pennsylvania?
Philadelphia-based employers like Comcast, SEI Investments, and Independence Blue Cross have consistent H-1B filing histories for data-focused engineering roles. In Pittsburgh, companies like Duolingo, Cognition, and various Carnegie Mellon University spinouts sponsor international candidates. Large consulting firms including Deloitte and Accenture, which have significant Pennsylvania operations, also file H-1B petitions for data science engineers regularly.
Which visa types are most common for data science engineer roles in Pennsylvania?
The H-1B is the most common visa for data science engineers in Pennsylvania, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, satisfying the specialty occupation requirement. Candidates already in the U.S. on F-1 OPT or STEM OPT extensions frequently transition to H-1B through employer sponsorship. O-1A visas are an option for candidates with documented exceptional contributions to the field.
Which cities in Pennsylvania have the most data science engineer sponsorship jobs?
Philadelphia and Pittsburgh account for the large majority of data science engineer sponsorship activity in Pennsylvania. Philadelphia draws demand from finance, insurance, and healthcare employers concentrated around Center City and the surrounding suburbs. Pittsburgh's strength comes from its AI and robotics research ecosystem, anchored by Carnegie Mellon University and University of Pittsburgh, which attract both academic institutions and technology companies that hire and sponsor data science engineers.
How to find data science engineer visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search for data science engineer roles in Pennsylvania without sifting through positions that don't sponsor. Because sponsorship willingness isn't always stated in job postings, Migrate Mate's focus on verified sponsoring employers saves significant time. Filtering by Pennsylvania cities like Philadelphia and Pittsburgh narrows results to the markets where sponsorship activity for this role is most concentrated.
Are there any Pennsylvania-specific factors that affect visa sponsorship for data science engineers?
Pennsylvania's concentration of research universities, including Carnegie Mellon, Penn, and Drexel, creates a strong pipeline of international graduates who enter the local job market on OPT and later seek H-1B sponsorship. Employers in Pittsburgh's AI corridor are generally experienced with the sponsorship process due to high international graduate hiring. Philadelphia's healthcare and financial services employers tend to use established immigration counsel, which can make the sponsorship process more structured for candidates.
What is the prevailing wage for sponsored data science engineer 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.