Data Science Analyst Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's data science analyst job market spans Philadelphia's finance and healthcare sectors, Pittsburgh's growing tech and AI research ecosystem, and major employers like Comcast, UPMC, and Vanguard. International candidates will find meaningful visa sponsorship opportunities here, particularly at large enterprises and university-affiliated research centers across 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 Analyst Job Roles in Pennsylvania
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Search Data Science Analyst Jobs in PennsylvaniaData Science Analyst Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for data science analysts in Pennsylvania?
Large Pennsylvania employers with established visa sponsorship programs include Comcast, Vanguard, UPMC, Independence Blue Cross, and SEI Investments. In Pittsburgh, companies like Duolingo, Highmark Health, and PNC Financial Services regularly file H-1B visa petitions for data science roles. University-affiliated research institutions such as Penn Medicine and Carnegie Mellon-affiliated organizations also sponsor analysts. Sponsorship activity is highest among employers with dedicated data or analytics divisions.
Which visa types are most common for data science analyst roles in Pennsylvania?
The H-1B is the most common visa for data science analysts in Pennsylvania, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in statistics, computer science, or a related field. Candidates with advanced degrees may also see EB-2 pathways pursued by employers over time. Those from Canada or Mexico may qualify under the TN visa, and Australian citizens may be eligible for the E-3 visa.
Which cities in Pennsylvania have the most data science analyst sponsorship jobs?
Philadelphia and Pittsburgh account for the vast majority of data science analyst sponsorship jobs in Pennsylvania. Philadelphia draws sponsoring employers from financial services, healthcare, and insurance sectors, while Pittsburgh benefits from a strong AI and robotics research presence tied to Carnegie Mellon University and the University of Pittsburgh. Smaller concentrations exist in suburban Philadelphia counties, particularly near King of Prussia, where several financial and life sciences firms operate.
How to find data science analyst visa sponsorship jobs in Pennsylvania?
Migrate Mate is built specifically for international job seekers and filters data science analyst roles in Pennsylvania by visa sponsorship eligibility, saving you from manually screening hundreds of postings. Beyond Migrate Mate, targeting employers with documented H-1B filing histories in the DOL's OFLC disclosure data helps you prioritize outreach to companies already comfortable with sponsorship. Focusing applications on large healthcare, finance, and technology employers in Philadelphia and Pittsburgh gives you the strongest odds.
Are there any Pennsylvania-specific considerations for data science analysts seeking visa sponsorship?
Pennsylvania's concentration of healthcare systems and financial institutions means many data science analyst roles involve regulated data environments, which can affect hiring timelines and background clearance requirements. Pittsburgh's academic connections create a pipeline of OPT and STEM OPT candidates, meaning employers in that market are generally familiar with early-career sponsorship processes. Prevailing wage compliance is determined by the Philadelphia or Pittsburgh metropolitan statistical area depending on work location, which influences the employer's LCA filing.
What is the prevailing wage for sponsored data science analyst 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.