Data Scientist Visa Sponsorship Jobs in Ohio
Data scientist visa sponsorship jobs in Ohio are concentrated in Columbus, Cleveland, and Cincinnati, where employers like JPMorgan Chase, Nationwide, Progressive Insurance, and the Cleveland Clinic regularly hire international candidates. Ohio's mix of financial services, insurance, healthcare, and university research creates steady demand for data scientists across the state.
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Get Access To All JobsINTRODUCTION
Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
We are seeking a Telematics Data Scientist to build foundational analytics that connect claims and telematics data, uncover actionable driver‑level insights, enable AI- and automation‑driven capabilities, support IoT data discovery, and lay the groundwork for future telematics-enabled decision making.
The ideal candidate combines curiosity, data engineering, data science, and analytical skills with disciplined documentation and a product-minded approach, ensuring assets are reusable, scalable, and aligned to enterprise expectations.
Great American’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be onsite four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday–Thursday, with the fourth day determined by business needs.
ESSENTIAL JOB FUNCTIONS & RESPONSIBILITIES
- Develop and iterate claims‑to‑telematics join logic, contributing analytical, data engineering, and documentation capacity to expand the share of claims successfully linked to telematics data.
- Build reusable analytical components that support future pricing enablement, including exploratory and production‑ready logic for fleet behavior monitoring, trend‑shift detection, and trip‑ and geography‑based risk signals.
- Identify opportunities where telematics‑derived analytics can be embedded into AI‑ or automation‑driven workflows.
- Design and optimize Snowflake data structures (tables, schemas, and queries) to provide high‑quality, scalable foundations for downstream modeling, reporting, and automation.
- Document analytical logic, data structures, and decision rationale to support long‑term maintainability, auditability, and knowledge transfer.
- Improve schema design, reduce duplication, standardize table usage, and support onboarding of new telematics or IoT‑derived data sources.
Job Requirements
- Bachelor’s in Data Science, Computer Science, Business Analytics, Neuroscience, or related fields. Master’s degree in these fields would be highly preferred.
- 3 or more years of related experience.
- Strong SQL proficiency.
- Experience with unsupervised machine learning techniques to surface patterns, hypotheses, and emerging risk signals.
- Experience with hypothesis-driven modeling with domain-informed features and constraints.
- Hands-on experience with Python for data transformation, feature engineering, and building data pipelines that support machine learning workflows and automation.
- Strong documentation habits, with the ability to clearly explain analytical logic, data structures, and decisions.
PREFERRED SKILLS
- Practical experience with Snowflake data modeling, including table and schema design and query performance optimization.
- Experience with geospatial or grid-based analytics (e.g., H3 or similar).
- Background in insurance, fleet, risk, or pricing analytics, particularly where telematics or sensor data is involved.
BUSINESS UNIT:
Business Data and Analytics
BENEFITS:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process.
*Excludes seasonal employees and interns.
INTRODUCTION
Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
We are seeking a Telematics Data Scientist to build foundational analytics that connect claims and telematics data, uncover actionable driver‑level insights, enable AI- and automation‑driven capabilities, support IoT data discovery, and lay the groundwork for future telematics-enabled decision making.
The ideal candidate combines curiosity, data engineering, data science, and analytical skills with disciplined documentation and a product-minded approach, ensuring assets are reusable, scalable, and aligned to enterprise expectations.
Great American’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be onsite four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday–Thursday, with the fourth day determined by business needs.
ESSENTIAL JOB FUNCTIONS & RESPONSIBILITIES
- Develop and iterate claims‑to‑telematics join logic, contributing analytical, data engineering, and documentation capacity to expand the share of claims successfully linked to telematics data.
- Build reusable analytical components that support future pricing enablement, including exploratory and production‑ready logic for fleet behavior monitoring, trend‑shift detection, and trip‑ and geography‑based risk signals.
- Identify opportunities where telematics‑derived analytics can be embedded into AI‑ or automation‑driven workflows.
- Design and optimize Snowflake data structures (tables, schemas, and queries) to provide high‑quality, scalable foundations for downstream modeling, reporting, and automation.
- Document analytical logic, data structures, and decision rationale to support long‑term maintainability, auditability, and knowledge transfer.
- Improve schema design, reduce duplication, standardize table usage, and support onboarding of new telematics or IoT‑derived data sources.
Job Requirements
- Bachelor’s in Data Science, Computer Science, Business Analytics, Neuroscience, or related fields. Master’s degree in these fields would be highly preferred.
- 3 or more years of related experience.
- Strong SQL proficiency.
- Experience with unsupervised machine learning techniques to surface patterns, hypotheses, and emerging risk signals.
- Experience with hypothesis-driven modeling with domain-informed features and constraints.
- Hands-on experience with Python for data transformation, feature engineering, and building data pipelines that support machine learning workflows and automation.
- Strong documentation habits, with the ability to clearly explain analytical logic, data structures, and decisions.
PREFERRED SKILLS
- Practical experience with Snowflake data modeling, including table and schema design and query performance optimization.
- Experience with geospatial or grid-based analytics (e.g., H3 or similar).
- Background in insurance, fleet, risk, or pricing analytics, particularly where telematics or sensor data is involved.
BUSINESS UNIT:
Business Data and Analytics
BENEFITS:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process.
*Excludes seasonal employees and interns.
Data Scientist Job Roles in Ohio
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Search Data Scientist Jobs in OhioData Scientist Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for data scientists?
Several large Ohio-based employers have consistent track records of sponsoring work visas for data scientists. These include Nationwide Insurance, Progressive, JPMorgan Chase, Huntington Bancshares, and Cleveland Clinic. Major tech and consulting firms with Ohio offices, such as IBM and Accenture, also sponsor data scientist roles. Checking USCIS H-1B visa disclosure data gives the most accurate picture of which employers file petitions.
Which visa types are most common for data scientist roles in Ohio?
The H-1B is the most common visa category for data scientist positions in Ohio. The role typically qualifies as a specialty occupation because it requires a bachelor's degree or higher in a specific field such as statistics, computer science, or mathematics. Candidates already holding an F-1 OPT or STEM OPT authorization may work before transitioning to H-1B. The O-1A is an option for candidates with a documented record of exceptional achievement in the field.
Which cities in Ohio have the most data scientist visa sponsorship jobs?
Columbus leads Ohio for data scientist sponsorship activity, driven by its financial services sector, state government agencies, and a growing tech presence. Cleveland follows, with healthcare and biomedical research employers anchoring demand. Cincinnati has a solid base from consumer goods, logistics, and financial firms. Smaller hubs like Dayton and Akron also have sponsoring employers, though opportunities there are more limited in volume.
How to find data scientist visa sponsorship jobs in Ohio?
Migrate Mate is built specifically for international candidates and filters data scientist roles in Ohio that offer visa sponsorship, saving significant time compared to manually screening generic job listings. Beyond Migrate Mate, reviewing DOL Labor Condition Application disclosure data shows which Ohio employers have recently filed for data scientist positions, which is a reliable proxy for active sponsorship willingness.
Are there any Ohio-specific considerations for data scientists seeking visa sponsorship?
Ohio's strong university pipeline, including Ohio State University, Case Western Reserve, and the University of Cincinnati, means many employers are accustomed to hiring international graduates directly into sponsored roles. Prevailing wage requirements for H-1B petitions apply based on the specific metropolitan area where the role is located, so Columbus, Cleveland, and Cincinnati each have distinct wage thresholds that employers must meet. Healthcare and insurance sector roles often require domain knowledge alongside core data science skills.
What is the prevailing wage for sponsored data scientist 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.