Senior Data Science Engineer Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's senior data science engineer market is anchored by Philadelphia's pharmaceutical and financial services sectors, Pittsburgh's AI research corridor near Carnegie Mellon University, and major employers like Comcast, Vanguard, and UPMC. Companies in these industries regularly sponsor H-1B visas for qualified senior-level candidates with advanced machine learning and engineering backgrounds.
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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.
Senior Data Science Engineer Job Roles in Pennsylvania
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Search Senior Data Science Engineer Jobs in PennsylvaniaSenior Data Science Engineer Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in Pennsylvania?
Philadelphia-based employers like Comcast, Vanguard, and GSK have established H-1B sponsorship track records for senior data science engineering roles. In Pittsburgh, companies tied to the Carnegie Mellon and Pitt research ecosystems, including Google's Pittsburgh office and various healthcare technology firms, regularly file petitions. UPMC and other large health systems also sponsor for data science roles supporting clinical analytics and research.
Which visa types are most common for senior data science engineer roles in Pennsylvania?
The H-1B is the most common visa for senior data science engineers in Pennsylvania. The role typically qualifies as a specialty occupation given the requirement for advanced degrees in computer science, statistics, or a related field. Candidates with extraordinary ability in machine learning or AI research may also explore the O-1A. Those transferring within a multinational company may be eligible for the L-1B for specialized knowledge workers.
Which cities in Pennsylvania have the most senior data science engineer sponsorship jobs?
Philadelphia and Pittsburgh account for the large majority of senior data science engineer sponsorship activity in Pennsylvania. Philadelphia's concentration of financial services, insurance, and life sciences firms drives consistent demand. Pittsburgh's reputation as an AI and robotics research hub, shaped by Carnegie Mellon University, has attracted technology employers that actively hire and sponsor senior-level data scientists. Smaller markets like Harrisburg see occasional openings in government-adjacent technology roles.
How to find senior data science engineer visa sponsorship jobs in Pennsylvania?
Migrate Mate is built specifically for international job seekers and filters senior data science engineer roles in Pennsylvania by visa sponsorship status, so you're not sifting through listings from employers who won't sponsor. The platform covers openings across Philadelphia, Pittsburgh, and other Pennsylvania markets. Because senior data science engineer roles vary significantly in scope and sponsorship willingness by employer, filtering by sponsorship history is a practical starting point.
Are there any Pennsylvania-specific considerations for senior data science engineers pursuing sponsorship?
Pennsylvania's strong university pipeline, particularly from Carnegie Mellon, Penn, and Pitt, means employers in the state are generally experienced with international hiring and H-1B processes. The life sciences concentration around Philadelphia's 'Eds and Meds' corridor creates consistent demand for engineers who can work with biomedical data. Prevailing wage compliance is required for all H-1B filings, and senior-level classifications carry higher wage requirements than entry or mid-level roles at the same employer.
What is the prevailing wage for sponsored senior 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.