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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Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
The Senior Manager – Data Engineering & Applied Data Science is responsible for leading the strategy, design, and delivery of enterprise data products, applied data science, and AI solutions that enable business growth and digital transformation. This role leads a multidisciplinary team responsible for Data Engineering and Applied Data Science, transforming business challenges into scalable, production-ready data and AI products.
The successful candidate combines strong technical leadership with business acumen to design data products that address business needs, build AI-ready data foundations, develop advanced analytics and machine learning solutions, and continuously evolve capabilities through the adoption of emerging technologies and engineering best practices. This role is also accountable for ensuring enterprise data is AI-ready—standardized, contextualized, governed, and optimized for analytics, machine learning, and Generative AI use cases.
- Lead Data & AI Solution Delivery – Translate business priorities into scalable enterprise data products, advanced analytics, machine learning, and AI solutions that deliver measurable business value.
- Drive Data Engineering Excellence – Lead the design and delivery of reliable, secure, and scalable data pipelines and products while establishing engineering standards across DataOps, CI/CD, automation, observability, and cloud-native development.
- Advance Applied Data Science & AI – Guide the development and production deployment of machine learning, Generative AI, and advanced analytics solutions, including reusable frameworks and scalable AI capabilities.
- Build AI-Ready Data Foundations – Ensure enterprise data products are trusted, governed, contextualized, and optimized for analytics and AI through strong data quality, metadata, lineage, semantic models, and accessibility.
- Shape Technology Strategy & Innovation – Develop technology roadmaps and evaluate emerging technologies and architectural patterns that accelerate AI adoption, improve engineering productivity, and strengthen enterprise data capabilities.
- Lead Teams & Strategic Partnerships – Build and develop high-performing Data Engineering and Applied Data Science teams while partnering across business, architecture, platform, security, and technology functions to align priorities, communicate outcomes, and drive execution.
REQUIREMENTS:
- Advanced Degree plus 6 years of experience, or Bachelor's Degree plus 8 years of experience in data science and analytics leadership roles
- Preferred Fields of Study: Data Science, Computer Science, Statistics, Mathematics, Analytics, or related field
- Advanced certifications in data science, machine learning, or AI technologies are valued
- Strong expertise in machine learning, AI, and statistical modeling techniques
- Advanced proficiency in programming languages including Python, R, and SQL
- Experience with major AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Demonstrated success leading and mentoring data science teams
- Expertise in data visualization tools (Tableau, Power BI) and BI platforms
- Proven track record of implementing large-scale data science solutions
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies
- Strong knowledge of data governance and regulatory compliance
- Excellent project management and cross-functional collaboration skills
- Outstanding communication abilities to translate technical concepts for diverse audiences
- Experience with Agile/Scrum methodologies
- Ability to travel up to 20% as needed
- Proven ability to deliver business results through data-driven insights
- Experience with automation tools and process optimization
- Strong problem-solving and analytical thinking capabilities
Compensation and Benefits
The salary range estimated for this position based in California is $152,000.00–$227,900.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
- A choice of national medical and dental plans, and a national vision plan, including health incentive programs
- Employee assistance and family support programs, including commuter benefits and tuition reimbursement
- At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
- Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
- Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
The Senior Manager – Data Engineering & Applied Data Science is responsible for leading the strategy, design, and delivery of enterprise data products, applied data science, and AI solutions that enable business growth and digital transformation. This role leads a multidisciplinary team responsible for Data Engineering and Applied Data Science, transforming business challenges into scalable, production-ready data and AI products.
The successful candidate combines strong technical leadership with business acumen to design data products that address business needs, build AI-ready data foundations, develop advanced analytics and machine learning solutions, and continuously evolve capabilities through the adoption of emerging technologies and engineering best practices. This role is also accountable for ensuring enterprise data is AI-ready—standardized, contextualized, governed, and optimized for analytics, machine learning, and Generative AI use cases.
- Lead Data & AI Solution Delivery – Translate business priorities into scalable enterprise data products, advanced analytics, machine learning, and AI solutions that deliver measurable business value.
- Drive Data Engineering Excellence – Lead the design and delivery of reliable, secure, and scalable data pipelines and products while establishing engineering standards across DataOps, CI/CD, automation, observability, and cloud-native development.
- Advance Applied Data Science & AI – Guide the development and production deployment of machine learning, Generative AI, and advanced analytics solutions, including reusable frameworks and scalable AI capabilities.
- Build AI-Ready Data Foundations – Ensure enterprise data products are trusted, governed, contextualized, and optimized for analytics and AI through strong data quality, metadata, lineage, semantic models, and accessibility.
- Shape Technology Strategy & Innovation – Develop technology roadmaps and evaluate emerging technologies and architectural patterns that accelerate AI adoption, improve engineering productivity, and strengthen enterprise data capabilities.
- Lead Teams & Strategic Partnerships – Build and develop high-performing Data Engineering and Applied Data Science teams while partnering across business, architecture, platform, security, and technology functions to align priorities, communicate outcomes, and drive execution.
REQUIREMENTS:
- Advanced Degree plus 6 years of experience, or Bachelor's Degree plus 8 years of experience in data science and analytics leadership roles
- Preferred Fields of Study: Data Science, Computer Science, Statistics, Mathematics, Analytics, or related field
- Advanced certifications in data science, machine learning, or AI technologies are valued
- Strong expertise in machine learning, AI, and statistical modeling techniques
- Advanced proficiency in programming languages including Python, R, and SQL
- Experience with major AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Demonstrated success leading and mentoring data science teams
- Expertise in data visualization tools (Tableau, Power BI) and BI platforms
- Proven track record of implementing large-scale data science solutions
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies
- Strong knowledge of data governance and regulatory compliance
- Excellent project management and cross-functional collaboration skills
- Outstanding communication abilities to translate technical concepts for diverse audiences
- Experience with Agile/Scrum methodologies
- Ability to travel up to 20% as needed
- Proven ability to deliver business results through data-driven insights
- Experience with automation tools and process optimization
- Strong problem-solving and analytical thinking capabilities
Compensation and Benefits
The salary range estimated for this position based in California is $152,000.00–$227,900.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
- A choice of national medical and dental plans, and a national vision plan, including health incentive programs
- Employee assistance and family support programs, including commuter benefits and tuition reimbursement
- At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
- Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
- Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
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.