Senior Data Science Engineer Visa Sponsorship Jobs in Ohio
Senior data science engineer visa sponsorship jobs in Ohio are concentrated in Columbus, Cleveland, and Cincinnati, where employers like JPMorgan Chase, Nationwide Insurance, and Kroger's technology division actively hire for advanced data and machine learning roles. Ohio's growing fintech, insurance, and retail analytics sectors make it a genuine destination for international candidates in this field.
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Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.
Responsibilities:
- Ability to analyze complex data sets and create actionable insights
- Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits
- Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
- Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling
- Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality
- Performs validation and testing to confirm the accuracy of the information created
- Design and develop AI/ML solutions using Azure AI services.
- Build and optimize document intelligence solutions using OCR, LLMs, and hybrid approaches.
- Support the creation and maintenance of project documentation
- Develop, train, and deploy machine learning models for production workloads.
Qualifications
- Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
- 2+ years of experience working as an IT Data Analyst or in Data Science
- Strong Python programming skills and experience with common ML frameworks (scikit-learn, XGBoost)
- Experience with agile development and software development life cycle (SDLC) processes
- Proficiency with SQL programming
- Experience with Microsoft Azure, including Azure AI/AI Foundry and related AI services
- Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps
- Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results
- Excellent written and verbal communication skills
Education
Required Bachelors or better in Computer Science or related field
Bachelors or better in Statistics or related field
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Summary
Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.
Responsibilities:
- Ability to analyze complex data sets and create actionable insights
- Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits
- Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
- Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling
- Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality
- Performs validation and testing to confirm the accuracy of the information created
- Design and develop AI/ML solutions using Azure AI services.
- Build and optimize document intelligence solutions using OCR, LLMs, and hybrid approaches.
- Support the creation and maintenance of project documentation
- Develop, train, and deploy machine learning models for production workloads.
Qualifications
- Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
- 2+ years of experience working as an IT Data Analyst or in Data Science
- Strong Python programming skills and experience with common ML frameworks (scikit-learn, XGBoost)
- Experience with agile development and software development life cycle (SDLC) processes
- Proficiency with SQL programming
- Experience with Microsoft Azure, including Azure AI/AI Foundry and related AI services
- Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps
- Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results
- Excellent written and verbal communication skills
Education
Required Bachelors or better in Computer Science or related field
Bachelors or better in Statistics or related field
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Senior Data Science Engineer Job Roles in Ohio
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Search Senior Data Science Engineer Jobs in OhioSenior Data Science Engineer Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for senior data science engineers?
Several large Ohio employers have established H-1B visa sponsorship histories for senior data science engineers. JPMorgan Chase and Fifth Third Bank sponsor regularly for financial analytics roles in Columbus and Cincinnati. Nationwide Insurance and Progressive hire for insurance modeling positions. Kroger's technology arm in Cincinnati and Ohio State University's research divisions are also active sponsors in this space.
Which visa types are most common for senior data science engineer roles in Ohio?
The H-1B is the most common visa for senior data science engineers in Ohio, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with advanced degrees may also pursue the EB-2 NIW pathway. Some university-affiliated positions support J-1 visa or O-1 visas depending on the candidate's profile.
Which Ohio cities have the most senior data science engineer sponsorship jobs?
Columbus is Ohio's leading market for senior data science engineer sponsorship, driven by its large financial services and insurance employers alongside a strong tech startup ecosystem. Cincinnati ranks second, anchored by Kroger's data science operations and several regional banks. Cleveland offers opportunities in healthcare analytics through organizations like Cleveland Clinic and University Hospitals, which have sponsored technical roles in data science.
How to find senior data science engineer visa sponsorship jobs in Ohio?
Migrate Mate is the most direct way to find senior data science engineer visa sponsorship jobs filtered specifically to Ohio. The platform surfaces roles from employers with documented H-1B sponsorship activity, so you can focus on companies already willing to sponsor rather than filtering through listings that offer no clarity on immigration support. Filtering by Ohio lets you target Columbus, Cleveland, and Cincinnati employers specifically.
Are there any Ohio-specific factors that affect visa sponsorship for senior data science engineers?
Ohio's prevailing wage requirements for H-1B positions are determined by the Department of Labor based on the specific metropolitan area, so Columbus, Cleveland, and Cincinnati each carry different wage thresholds for senior-level data science roles. Ohio State University and Case Western Reserve University produce a steady pipeline of domestic and international data science talent, which means employers in those cities have established HR processes for sponsoring international hires at the senior level.
What is the prevailing wage for sponsored senior data science engineer jobs in Ohio?
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.