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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Get Access To All JobsJob Description
Must Have Technical/Functional Skills
- Advanced Python development for ML/AI workloads
- End‑to‑end ML lifecycle: model training, evaluation, fine‑tuning, and labeling/tagging workflows
- Generative AI systems design, including LLM-based application development
- Prompt engineering optimization for large language models
- Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking for structured & unstructured data
- Embedding generation pipelines for semantic search and retrieval
- Vector similarity search implementation using vector databases
- ML model integration with Vector DBs and MongoDB
- Production‑grade ML engineering: scalable, maintainable, and deployment‑ready code
Roles & Responsibilities
We are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions. The ideal candidate will have deep expertise in Python, hands-on experience in model training, document processing pipelines, and strong knowledge of vector databases and modern ML/GenAI frameworks.
Strong Fit If The Candidate
- Has expert level Python skills
- Has hands on experience building ML/GenAI systems, not just theoretical knowledge
- Has worked on end to end ML pipelines (data → model → deployment)
- Has experience with document AI, embeddings, and vector search
- Thinks like an engineer (scalable, maintainable, production ready code)
Likely Not a Fit If The Candidate Is
- Primarily a BI / reporting analyst
- Focused only on statistical modeling or academic research
- Lacking experience with deployment, pipelines, or GenAI systems
Key Responsibilities
- Develop and deploy machine learning and GenAI solutions using Python
- Design and optimize prompt engineering strategies for LLM-based applications
- Build document extraction, parsing, and chunking pipelines for structured and unstructured data
- Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
- Implement embedding generation and vector search solutions
- Integrate ML models with Vector DBs and MongoDB
- Ensure code quality, scalability, and production readiness
Salary Range
$95,000 - $135,000
TCS Employee Benefits Summary
- Discretionary Annual Incentive
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
- Family Support: Maternal & Parental Leaves
- Insurance Options: Auto & Home Insurance, Identity Theft Protection
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
- Time Off: Vacation, Time Off, Sick Leave & Holidays
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing
Qualifications
BACHELOR OF COMPUTER SCIENCE
Job Description
Must Have Technical/Functional Skills
- Advanced Python development for ML/AI workloads
- End‑to‑end ML lifecycle: model training, evaluation, fine‑tuning, and labeling/tagging workflows
- Generative AI systems design, including LLM-based application development
- Prompt engineering optimization for large language models
- Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking for structured & unstructured data
- Embedding generation pipelines for semantic search and retrieval
- Vector similarity search implementation using vector databases
- ML model integration with Vector DBs and MongoDB
- Production‑grade ML engineering: scalable, maintainable, and deployment‑ready code
Roles & Responsibilities
We are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions. The ideal candidate will have deep expertise in Python, hands-on experience in model training, document processing pipelines, and strong knowledge of vector databases and modern ML/GenAI frameworks.
Strong Fit If The Candidate
- Has expert level Python skills
- Has hands on experience building ML/GenAI systems, not just theoretical knowledge
- Has worked on end to end ML pipelines (data → model → deployment)
- Has experience with document AI, embeddings, and vector search
- Thinks like an engineer (scalable, maintainable, production ready code)
Likely Not a Fit If The Candidate Is
- Primarily a BI / reporting analyst
- Focused only on statistical modeling or academic research
- Lacking experience with deployment, pipelines, or GenAI systems
Key Responsibilities
- Develop and deploy machine learning and GenAI solutions using Python
- Design and optimize prompt engineering strategies for LLM-based applications
- Build document extraction, parsing, and chunking pipelines for structured and unstructured data
- Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
- Implement embedding generation and vector search solutions
- Integrate ML models with Vector DBs and MongoDB
- Ensure code quality, scalability, and production readiness
Salary Range
$95,000 - $135,000
TCS Employee Benefits Summary
- Discretionary Annual Incentive
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
- Family Support: Maternal & Parental Leaves
- Insurance Options: Auto & Home Insurance, Identity Theft Protection
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
- Time Off: Vacation, Time Off, Sick Leave & Holidays
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing
Qualifications
BACHELOR OF COMPUTER SCIENCE
Data Science Engineer Job Roles in Ohio
See all 216+ Data Science Engineer Jobs 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.
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