Data Science Manager Visa Sponsorship Jobs in Ohio
Ohio's data science manager roles are concentrated in Columbus, Cleveland, and Cincinnati, where employers like JPMorgan Chase, Nationwide, and Procter & Gamble regularly hire for senior analytics leadership. The state's blend of financial services, insurance, retail, and healthcare sectors creates consistent demand for data science managers with visa sponsorship.
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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.
Data Science Manager Job Roles in Ohio
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Search Data Science Manager Jobs in OhioData Science Manager Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for data science managers in Ohio?
Several large Ohio-based employers have established records of sponsoring work visas for data science managers. These include JPMorgan Chase and KeyBank in financial services, Nationwide and Progressive Insurance in insurance, Procter & Gamble and Kroger in consumer goods, and major health systems like Cleveland Clinic and OhioHealth. Large tech-adjacent firms and consulting practices with Ohio offices also sponsor regularly for senior analytics roles.
Which visa types are most common for data science manager roles in Ohio?
The H-1B visa is the most common visa for data science managers in Ohio, as the role consistently qualifies as a specialty occupation requiring a related bachelor's degree or higher. Candidates already holding L-1A or L-1B status through a multinational employer may transfer into Ohio-based positions. Those with extraordinary ability or national interest waiver eligibility may pursue O-1 visa or EB-2 NIW pathways, though these require substantial documentation.
Which cities in Ohio have the most data science manager sponsorship jobs?
Columbus leads Ohio for data science manager sponsorship activity, driven by its concentration of financial services, insurance, and retail headquarters. Cleveland is a strong second, particularly through its large healthcare systems and banking institutions. Cincinnati generates demand from consumer goods companies, notably Procter & Gamble. Smaller markets like Dayton and Akron offer occasional opportunities through manufacturing and regional healthcare employers.
How to find data science manager visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data science manager roles in Ohio without sifting through positions that don't offer sponsorship. You can narrow results by city, industry, and role level. Because Ohio's sponsoring employers span financial services, insurance, and healthcare, filtering by sector on Migrate Mate helps you target the industries most actively hiring at the manager level.
Are there state-specific or role-specific considerations for data science manager sponsorship in Ohio?
Ohio does not impose state-level visa requirements beyond federal standards, but employers must meet Department of Labor prevailing wage obligations when filing an H-1B Labor Condition Application for a data science manager role. Ohio's large public universities, including Ohio State and Case Western Reserve, contribute a pipeline of international graduate talent that some employers actively recruit into management tracks. Employers in regulated industries like banking and insurance may have additional internal compliance review before extending sponsorship offers.
What is the prevailing wage for sponsored data science manager 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.