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 JobsJob Title: Sr. Manager - Data Science & Analytics
Job Number: JO-2603-11235
Location (City, State): King of Prussia, PA
Employee Group: Regular
Shift: Day
Travel:
Site Name: King of Prussia 935
Is Remote Eligible: Yes
Pay:
Radial, Inc seeks Sr. Manager - Data Science & Analytics in King of Prussia, PA.
Job Duties: Develop, maintain, evaluate, enhance, and communicate real-time and offline Machine Learning (ML) models for fraud detection. Build and deploy end-to-end ML pipelines and manage MLOps. Optimize ML models for performance, scalability, and cost-effectiveness. Build and maintain anomaly detection algorithms to identify suspicious activities and patterns indicative of fraud. Participate in on-call rotations to provide timely support for critical issues with deployed ML models and anomaly detection processes. Implement data quality monitoring systems to detect anomalies and inconsistencies in incoming data streams. Develop and enhance rule-based strategies to complement ML models for fraud detection. Proactively identify new methods and processes to increase revenue and reduce cost and friction. Work closely with Technology team to build Radial’s Data Science framework. Support cloud transformation to enhance Radial’s Data Science/Machine Learning capabilities. Perform ROI analysis and business case justification / review for new vendor/partner. Regularly report that shows the status and next steps for all Fraud Risk Technology Partners. Serve as main point of contact for off-shore (IDC) and in-house Data Scientist Resources during on and off hours. Manage a team of professionals in fraud decision science, fraud detection, fraud risk analysis, and fraud data science. Telecommuting Permitted.
Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Data Analytics, or a closely related quantitative field and three (3) years of experience in the job offered or three (3) years of experience in the field of Machine Learning, Business/Data Analytics, Statistics, or related occupation.
Special Skills:
- Python for Data Analysis, Machine Learning, API development
- SQL
- AWS SageMaker, API gateway, Lambda, S3, EC2
- Developing and implementing machine learning models in risk assessment/scoring engine, and optimizing risk scoring rules
- Scikit-learn, Tensorflow, Pytorch
- Git, Jira, Confluence
- Statistical analysis and experimental design
- Modeling Decision Tree, XGBoost, LGBM, SHAP
- Docker, Jenkins
- Tableau
Any suitable combination of education, training and experience is acceptable.
Apply through the career’s website: https://radial.my.salesforce-sites.com/careers with reference to: Job#: JO-2603-11235.
Job Title: Sr. Manager - Data Science & Analytics
Job Number: JO-2603-11235
Location (City, State): King of Prussia, PA
Employee Group: Regular
Shift: Day
Travel:
Site Name: King of Prussia 935
Is Remote Eligible: Yes
Pay:
Radial, Inc seeks Sr. Manager - Data Science & Analytics in King of Prussia, PA.
Job Duties: Develop, maintain, evaluate, enhance, and communicate real-time and offline Machine Learning (ML) models for fraud detection. Build and deploy end-to-end ML pipelines and manage MLOps. Optimize ML models for performance, scalability, and cost-effectiveness. Build and maintain anomaly detection algorithms to identify suspicious activities and patterns indicative of fraud. Participate in on-call rotations to provide timely support for critical issues with deployed ML models and anomaly detection processes. Implement data quality monitoring systems to detect anomalies and inconsistencies in incoming data streams. Develop and enhance rule-based strategies to complement ML models for fraud detection. Proactively identify new methods and processes to increase revenue and reduce cost and friction. Work closely with Technology team to build Radial’s Data Science framework. Support cloud transformation to enhance Radial’s Data Science/Machine Learning capabilities. Perform ROI analysis and business case justification / review for new vendor/partner. Regularly report that shows the status and next steps for all Fraud Risk Technology Partners. Serve as main point of contact for off-shore (IDC) and in-house Data Scientist Resources during on and off hours. Manage a team of professionals in fraud decision science, fraud detection, fraud risk analysis, and fraud data science. Telecommuting Permitted.
Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Data Analytics, or a closely related quantitative field and three (3) years of experience in the job offered or three (3) years of experience in the field of Machine Learning, Business/Data Analytics, Statistics, or related occupation.
Special Skills:
- Python for Data Analysis, Machine Learning, API development
- SQL
- AWS SageMaker, API gateway, Lambda, S3, EC2
- Developing and implementing machine learning models in risk assessment/scoring engine, and optimizing risk scoring rules
- Scikit-learn, Tensorflow, Pytorch
- Git, Jira, Confluence
- Statistical analysis and experimental design
- Modeling Decision Tree, XGBoost, LGBM, SHAP
- Docker, Jenkins
- Tableau
Any suitable combination of education, training and experience is acceptable.
Apply through the career’s website: https://radial.my.salesforce-sites.com/careers with reference to: Job#: JO-2603-11235.
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.
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