Data Scientist Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's data scientist job market is anchored by Philadelphia's finance and healthcare sectors, Pittsburgh's growing tech and AI research ecosystem, and major employers like Comcast, UPMC, and the University of Pennsylvania. Demand for sponsorship-eligible data scientists is strong across insurance, biopharma, and academic research institutions throughout the state.
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Get Access To All JobsINTRODUCTION
Healthcare Analytics Solutions (HAS) is an innovative team within Quest Diagnostics that leverages Quest data to develop products and services to improve outcomes in healthcare across many different markets (Pharma, Clinical Trials, Health Plans/Payers, Hospitals/Health Systems, and Public Health agencies).
Join HAS to build, productionize, and operationalize clinical ML products using billions of results from Quest laboratory data. You will partner with clinicians, engineers, and product teams to deliver robust, compliant, and well‑documented models that impact patient care and downstream products. Fully remote, minimal travel required; strong emphasis on hands‑on production experience and pragmatic problem solving.
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
ROLE AND RESPONSIBILITIES
- End-to-end ML delivery: data curation, feature design, modelling, validation, CI/CD deployment, and monitoring.
- Productionization: containerization, model serving, performance tuning, rollout strategies, and observability (drift, performance, alerts).
- Model governance: reproducibility, versioning, bias/fairness checks, and audit-ready documentation.
- Integration of advanced analytics and machine learning models into business products and services including business intelligence dashboards and real-time analytics.
- Curation of data sets from Quest and non-Quest data sources in support of deriving business insights driven by advanced analytics.
- Cross-functional partnership with clinicians and product owners to define outcomes, acceptance criteria, and validation plans.
- Mentor and raise engineering standards across the team: coding best practices, testing, and deployment patterns.
- Translate technical results into clear explanations and recommendations for technical and executive stakeholders.
BASIC QUALIFICATIONS
- 5+ years demonstrated track record delivering ML models to production (architecture, deployment, and monitoring), preferably in the healthcare industry.
- 5+ years relevant experience with Python and SQL; production-grade code and testing practices.
- Practical experience with model serving and monitoring, CI/CD for ML, and feature pipeline orchestration.
- Experience working with healthcare data (labs, EHR, claims) and familiarity with PHI handling/HIPAA considerations.
- Strong statistics, model evaluation, and pragmatic approach to validation.
- Excellent communication and problem-solving skills; comfortable leading technical discussions with clinicians and engineers and presenting to senior executives.
- A bachelor’s degree from an accredited college or university in a related area of Data Science, Statistics, Computer Science, Mathematics, Economics, or Information Technology. Master’s or PhD preferred.
PREFERRED QUALIFICATIONS
- Familiarity with feature stores and SHAP/interpretability tooling.
- Prior experience in regulated environments or deploying clinical decision support tools.
- Demonstrated ability to leverage data visualization tools and software to present advanced analytics that are easy to interpret and spot patterns, trends, and correlations.
- Experience developing, deploying, and monitoring production models in the C3.ai platform.
- Excellent scientific writing skills; we may publish studies based on novel models or methods.
- Experience supporting the creation of SOWs and Contracts.
- Aptitude in other programming languages like R, SAS, JavaScript.
WHY JOIN THIS TEAM?
- High-impact work across products and markets; you have the opportunity to meaningfully improve patient outcomes and healthcare delivery in the United States in this role.
- Fully remote, collaborative team.
- Opportunity to define production ML standards.
- Clear ownership of end-to-end model lifecycle and opportunity to mentor others.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.
INTRODUCTION
Healthcare Analytics Solutions (HAS) is an innovative team within Quest Diagnostics that leverages Quest data to develop products and services to improve outcomes in healthcare across many different markets (Pharma, Clinical Trials, Health Plans/Payers, Hospitals/Health Systems, and Public Health agencies).
Join HAS to build, productionize, and operationalize clinical ML products using billions of results from Quest laboratory data. You will partner with clinicians, engineers, and product teams to deliver robust, compliant, and well‑documented models that impact patient care and downstream products. Fully remote, minimal travel required; strong emphasis on hands‑on production experience and pragmatic problem solving.
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
ROLE AND RESPONSIBILITIES
- End-to-end ML delivery: data curation, feature design, modelling, validation, CI/CD deployment, and monitoring.
- Productionization: containerization, model serving, performance tuning, rollout strategies, and observability (drift, performance, alerts).
- Model governance: reproducibility, versioning, bias/fairness checks, and audit-ready documentation.
- Integration of advanced analytics and machine learning models into business products and services including business intelligence dashboards and real-time analytics.
- Curation of data sets from Quest and non-Quest data sources in support of deriving business insights driven by advanced analytics.
- Cross-functional partnership with clinicians and product owners to define outcomes, acceptance criteria, and validation plans.
- Mentor and raise engineering standards across the team: coding best practices, testing, and deployment patterns.
- Translate technical results into clear explanations and recommendations for technical and executive stakeholders.
BASIC QUALIFICATIONS
- 5+ years demonstrated track record delivering ML models to production (architecture, deployment, and monitoring), preferably in the healthcare industry.
- 5+ years relevant experience with Python and SQL; production-grade code and testing practices.
- Practical experience with model serving and monitoring, CI/CD for ML, and feature pipeline orchestration.
- Experience working with healthcare data (labs, EHR, claims) and familiarity with PHI handling/HIPAA considerations.
- Strong statistics, model evaluation, and pragmatic approach to validation.
- Excellent communication and problem-solving skills; comfortable leading technical discussions with clinicians and engineers and presenting to senior executives.
- A bachelor’s degree from an accredited college or university in a related area of Data Science, Statistics, Computer Science, Mathematics, Economics, or Information Technology. Master’s or PhD preferred.
PREFERRED QUALIFICATIONS
- Familiarity with feature stores and SHAP/interpretability tooling.
- Prior experience in regulated environments or deploying clinical decision support tools.
- Demonstrated ability to leverage data visualization tools and software to present advanced analytics that are easy to interpret and spot patterns, trends, and correlations.
- Experience developing, deploying, and monitoring production models in the C3.ai platform.
- Excellent scientific writing skills; we may publish studies based on novel models or methods.
- Experience supporting the creation of SOWs and Contracts.
- Aptitude in other programming languages like R, SAS, JavaScript.
WHY JOIN THIS TEAM?
- High-impact work across products and markets; you have the opportunity to meaningfully improve patient outcomes and healthcare delivery in the United States in this role.
- Fully remote, collaborative team.
- Opportunity to define production ML standards.
- Clear ownership of end-to-end model lifecycle and opportunity to mentor others.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.
Data Scientist Job Roles in Pennsylvania
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Search Data Scientist Jobs in PennsylvaniaData Scientist Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for data scientists in Pennsylvania?
Large employers with consistent data scientist sponsorship records in Pennsylvania include Comcast, UPMC, Independence Blue Cross, SEI Investments, and GSK's North American operations in the Philadelphia area. In Pittsburgh, Carnegie Mellon University affiliates, PNC Financial, and a growing number of AI-focused startups have sponsored data science roles. Consulting firms with Pennsylvania offices, such as Deloitte and Accenture, also file regularly for data science positions.
Which cities in Pennsylvania have the most data scientist sponsorship jobs?
Philadelphia and Pittsburgh account for the large majority of data scientist sponsorship activity in Pennsylvania. Philadelphia draws demand from healthcare systems, insurance companies, and financial services firms, while Pittsburgh's strength comes from its AI research community, university ties, and autonomous vehicle sector. Harrisburg and the broader southeastern Pennsylvania corridor also see sponsorship activity from government contractors and life sciences companies.
Which visa types are most common for data scientist roles in Pennsylvania?
The H-1B is by far the most common visa category used to sponsor data scientists in Pennsylvania, given that the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field like statistics, computer science, or data science. Some candidates with advanced degrees pursue the EB-2 immigrant visa pathway. International students completing degrees at Pennsylvania universities sometimes begin on OPT or STEM OPT before employer H-1B sponsorship.
How to find data scientist visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, making it straightforward to browse data scientist roles in Pennsylvania without sifting through positions that won't support international candidates. You can filter by state and role to surface active openings from Pennsylvania employers who have a track record of sponsoring H-1B and other work visas for data science positions in cities like Philadelphia and Pittsburgh.
Are there any Pennsylvania-specific factors data scientists should know about visa sponsorship?
Pennsylvania's dense concentration of research universities, including Penn, Carnegie Mellon, Drexel, and Pitt, creates strong pipelines that employers are accustomed to hiring from, including international graduates. The Department of Labor's prevailing wage requirements apply statewide, and wages for data scientist roles in Philadelphia and Pittsburgh are generally benchmarked against those metro areas separately. Healthcare and financial services employers in the state tend to have established immigration legal teams, which can make the sponsorship process more structured than at smaller firms.
What is the prevailing wage for sponsored data scientist 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.
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