Data Contributor Visa Sponsorship Jobs in Ohio
Ohio's data contributor roles are concentrated in Columbus, Cleveland, and Cincinnati, where employers in healthcare, insurance, and financial services actively hire international talent. Organizations like Nationwide, Progressive, and major university systems have established H-1B sponsorship track records for data-focused positions across the state.
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Get Access To All JobsJob Posting End Date
04-27-2026
Please note the job posting will close on the day before the posting end date.
Job Summary
At AEP, we’re more than just an energy company!
We’re a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!
Job Description
Help Us Power the Future by Connecting Business Needs with AI Capabilities at AEP!
At American Electric Power, we’re building a modern AI and analytics ecosystem that empowers teams across the company to use AI responsibly and effectively. We’re seeking an Advanced Data Scientist who blends strong statistical foundations with hands-on software engineering skills and can take ideas from research through experimentation, validation, and deployment. In this role, you’ll be a technical leader in applying a variety of GenAI techniques to real business problems, alongside more traditional AI/ML, with a particular emphasis on computer vision for drone imagery. You’ll help shape the team’s tooling and development patterns, partner deeply with business units to understand AI/ML needs, and mentor other data scientists to raise the bar for AI delivery across the company.
What You’ll Do:
Design & Deliver AI/ML Solutions
- Design, build, and deploy AI/ML solutions using a mix of traditional ML and GenAI techniques.
- Apply strong statistical judgment to model selection, evaluation, and validation.
- Incorporate computer vision techniques where appropriate, including imagery-based use cases such as drone data.
Experimentation & Model Quality
- Design and run experiments to evaluate model performance and business impact.
- Define success metrics, validation approaches, and acceptance criteria for AI solutions.
- Perform error analysis, robustness checks, and performance tuning prior to production use.
Production Readiness & Tooling
- Package and deploy models using established pipelines and platforms.
- Apply best practices for versioning, reproducibility, and experiment tracking.
- Help guide and improve the tools, platforms, and development patterns used by data scientists across teams.
Business Partnership & Translation
- Work with business units to understand AI/ML needs and identify high-value use cases.
- Translate business problems into clear technical approaches and delivery plans.
- Communicate results, tradeoffs, and recommendations to both technical and non-technical stakeholders.
Technical Leadership & Mentorship
- Provide technical guidance and review for other data scientists and partner teams.
- Mentor peers on modeling approaches, experimentation, and production delivery.
- Serve as a role model for high-quality, responsible, and scalable AI/ML work across the company.
Preferred Skills:
- Experience delivering end-to-end AI/ML solutions from experimentation through production.
- Strong foundation in statistics and experimental design, including model evaluation and success metrics.
- Hands-on experience building models across traditional ML and GenAI, with sound judgment on approach selection.
- Experience applying computer vision techniques and building scalable imagery-based ML pipelines.
- Solid software engineering practices, including reproducibility, version control, and reusable code.
- Practical MLOps experience with model packaging, deployment, tracking, and monitoring.
- Ability to translate business needs into technical direction and clearly communicate tradeoffs.
- Demonstrated technical leadership through mentoring, review, and influence.
- Strong Python skills for ML development; working knowledge of R preferred.
What We're Looking For:
Education: Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.
Experience: 8 years of experience required. An equivalent combination of education and related experience may be considered.
What You'll Get:
$116,255.00 - $151,132.50
In addition to a competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.
Compensation Data
Compensation Grade: SP20-009
Compensation Range: $116,255.00 - $151,132.50
The Physical Demand Level for this job is: S – Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.
It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.
Job Posting End Date
04-27-2026
Please note the job posting will close on the day before the posting end date.
Job Summary
At AEP, we’re more than just an energy company!
We’re a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!
Job Description
Help Us Power the Future by Connecting Business Needs with AI Capabilities at AEP!
At American Electric Power, we’re building a modern AI and analytics ecosystem that empowers teams across the company to use AI responsibly and effectively. We’re seeking an Advanced Data Scientist who blends strong statistical foundations with hands-on software engineering skills and can take ideas from research through experimentation, validation, and deployment. In this role, you’ll be a technical leader in applying a variety of GenAI techniques to real business problems, alongside more traditional AI/ML, with a particular emphasis on computer vision for drone imagery. You’ll help shape the team’s tooling and development patterns, partner deeply with business units to understand AI/ML needs, and mentor other data scientists to raise the bar for AI delivery across the company.
What You’ll Do:
Design & Deliver AI/ML Solutions
- Design, build, and deploy AI/ML solutions using a mix of traditional ML and GenAI techniques.
- Apply strong statistical judgment to model selection, evaluation, and validation.
- Incorporate computer vision techniques where appropriate, including imagery-based use cases such as drone data.
Experimentation & Model Quality
- Design and run experiments to evaluate model performance and business impact.
- Define success metrics, validation approaches, and acceptance criteria for AI solutions.
- Perform error analysis, robustness checks, and performance tuning prior to production use.
Production Readiness & Tooling
- Package and deploy models using established pipelines and platforms.
- Apply best practices for versioning, reproducibility, and experiment tracking.
- Help guide and improve the tools, platforms, and development patterns used by data scientists across teams.
Business Partnership & Translation
- Work with business units to understand AI/ML needs and identify high-value use cases.
- Translate business problems into clear technical approaches and delivery plans.
- Communicate results, tradeoffs, and recommendations to both technical and non-technical stakeholders.
Technical Leadership & Mentorship
- Provide technical guidance and review for other data scientists and partner teams.
- Mentor peers on modeling approaches, experimentation, and production delivery.
- Serve as a role model for high-quality, responsible, and scalable AI/ML work across the company.
Preferred Skills:
- Experience delivering end-to-end AI/ML solutions from experimentation through production.
- Strong foundation in statistics and experimental design, including model evaluation and success metrics.
- Hands-on experience building models across traditional ML and GenAI, with sound judgment on approach selection.
- Experience applying computer vision techniques and building scalable imagery-based ML pipelines.
- Solid software engineering practices, including reproducibility, version control, and reusable code.
- Practical MLOps experience with model packaging, deployment, tracking, and monitoring.
- Ability to translate business needs into technical direction and clearly communicate tradeoffs.
- Demonstrated technical leadership through mentoring, review, and influence.
- Strong Python skills for ML development; working knowledge of R preferred.
What We're Looking For:
Education: Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.
Experience: 8 years of experience required. An equivalent combination of education and related experience may be considered.
What You'll Get:
$116,255.00 - $151,132.50
In addition to a competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.
Compensation Data
Compensation Grade: SP20-009
Compensation Range: $116,255.00 - $151,132.50
The Physical Demand Level for this job is: S – Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.
It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.
Data Contributor Job Roles in Ohio
See all 547+ Data Contributor Jobs in Ohio
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Search Data Contributor Jobs in OhioData Contributor Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for data contributors in Ohio?
Ohio employers with documented H-1B sponsorship activity for data-related roles include Nationwide Insurance, Progressive Corporation, JPMorgan Chase's Columbus operations, Cleveland Clinic, and Ohio State University. Large healthcare systems and insurance carriers across the state regularly hire international candidates for data contributor positions, as these roles require specialized technical qualifications that support specialty occupation classification.
Which visa types are most common for data contributor roles in Ohio?
The H-1B is the most common visa category for data contributor roles in Ohio, as these positions typically require a bachelor's degree or higher in a relevant field such as computer science, statistics, or information systems. F-1 graduates with OPT or STEM OPT authorization often fill data contributor roles initially, with employers later sponsoring H-1B petitions. O-1A visas are an option for candidates with demonstrated exceptional ability.
Which cities in Ohio have the most data contributor sponsorship jobs?
Columbus accounts for the largest share of data contributor sponsorship activity in Ohio, driven by its concentration of insurance companies, financial institutions, and a large university research ecosystem. Cleveland follows, with healthcare systems like Cleveland Clinic and University Hospitals generating consistent demand. Cincinnati's corporate base, including financial services and consumer goods firms, also produces data contributor openings with sponsorship.
How to find data contributor visa sponsorship jobs in Ohio?
Migrate Mate is built specifically for international job seekers and filters data contributor roles in Ohio by visa sponsorship eligibility, saving significant time compared to unfiltered searches. You can browse current openings in Columbus, Cleveland, and Cincinnati, and filter by visa type and employer. Migrate Mate also surfaces employers with a history of sponsoring data-focused roles, which is particularly useful when evaluating Ohio-based opportunities.
Are there state-specific considerations for data contributor roles in Ohio?
Ohio's prevailing wage requirements under Department of Labor LCA rules apply to all H-1B data contributor positions, with wage levels determined by the specific job duties and the metropolitan area, so Columbus and Cleveland may carry different wage benchmarks. Ohio's strong university pipeline, particularly from Ohio State and Case Western Reserve, means employers are accustomed to hiring internationally educated candidates, which can support smoother sponsorship processes for data contributor roles.
What is the prevailing wage for sponsored data contributor 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.
See which data contributor employers are hiring and sponsoring visas in Ohio right now.
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