Data Science Engineer Visa Sponsorship Jobs in Ohio
Ohio's data science engineer market spans Columbus's growing tech sector, Cleveland's healthcare analytics firms, and Cincinnati's consumer and financial services companies. Major employers including Nationwide, Progressive Insurance, and Huntington Bank have sponsored data science engineers for H-1B visas. The state's research universities also feed a steady pipeline of technical talent into sponsoring roles.
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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 Engineer Job Roles in Ohio
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Search Data Science Engineer Jobs in OhioData Science Engineer Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for data science engineers?
Several large Ohio-based employers have documented H-1B sponsorship histories for data science engineering roles. These include Nationwide Insurance and JPMorgan Chase in Columbus, Progressive Insurance in Mayfield Village, and healthcare systems such as Cleveland Clinic and OhioHealth. Consulting firms and technology vendors with Ohio offices, including Accenture and IBM, also appear regularly in federal LCA disclosure data for data science positions.
Which visa types are most common for data science engineer roles in Ohio?
The H-1B is the most common visa for 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 a master's degree may benefit from the advanced degree exemption during the H-1B lottery. Some employers also use the O-1A for candidates with demonstrated research distinctions or published work in data science.
Which Ohio cities have the most data science engineer sponsorship jobs?
Columbus concentrates the largest share of data science engineer sponsorship activity in Ohio, driven by insurance, finance, and retail tech employers headquartered there. Cleveland follows, with demand anchored in healthcare analytics and financial services. Cincinnati generates sponsorship opportunities through consumer goods companies and regional banks. Dayton has a smaller but active presence tied to defense contractors and logistics firms with data engineering needs.
How to find data science engineer visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data science engineer roles in Ohio without sifting through positions that don't sponsor. You can narrow results by city, filtering for Columbus, Cleveland, or Cincinnati depending on where you want to work. Migrate Mate also surfaces employer sponsorship history, which helps you prioritize companies with a documented track record of supporting H-1B petitions for technical roles.
Are there any Ohio-specific considerations for data science engineers seeking visa sponsorship?
Ohio's prevailing wage requirements for H-1B data science engineer roles are set at the metropolitan level, meaning Columbus, Cleveland, and Cincinnati each have separate Department of Labor wage determinations. Employers must pay at least the prevailing wage for the specific location where the work is performed. Ohio's strong university system, including Ohio State University and Case Western Reserve University, means many sponsoring employers are familiar with OPT-to-H-1B transitions for recent graduates.
What is the prevailing wage for sponsored 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.