Principal Data Scientist Visa Sponsorship Jobs in Ohio
Principal data scientist visa sponsorship jobs in Ohio are concentrated in Columbus, Cleveland, and Cincinnati, where employers like Nationwide, Progressive Insurance, and JPMorgan Chase operate large analytics divisions. Ohio's finance, insurance, and healthcare sectors drive consistent demand for senior-level data science talent, with several research universities supplying a strong pipeline of candidates.
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Get Access To All JobsWho we are:
Premium Guard, Inc, a privately held company, was established in 1996. We are a leading supplier of private label solutions in the automotive aftermarket. We have an exceptional commitment to performance, innovation, and partnership in the automotive aftermarket industry. Our focus is on designing, manufacturing and distributing products for automotive, diesel, power-sports and specialty filter markets.
We are seeking a Senior Data Scientist to design, develop, and deploy machine learning and artificial intelligence solutions that drive business decision-making and operational excellence. This role combines predictive modeling, statistical analysis, data engineering, and business partnership to solve complex problems and deliver measurable value across the organization.
The ideal candidate is equally comfortable building production-grade machine learning models, communicating findings to executive leadership, and collaborating with engineers, analysts, and business stakeholders. They possess a strong foundation in statistics and machine learning, hands-on experience working with large and complex datasets, and a track record of deploying solutions that influence business outcomes.
Key Responsibilities
Machine Learning & AI
- Develop, validate, deploy, and monitor machine learning models that support forecasting, optimization, customer intelligence, operational decision-making, and business growth.
- Design and implement advanced predictive models using supervised and unsupervised learning techniques.
- Perform feature engineering, model selection, hyperparameter tuning, and performance evaluation.
- Establish model governance processes, including documentation, explainability, fairness assessments, and monitoring.
Data Science & Analytics
- Translate business challenges into analytical frameworks and data-driven solutions.
- Conduct exploratory analysis, statistical testing, forecasting, and causal analysis to identify actionable insights.
- Present analytical findings and recommendations to technical and non-technical audiences, including senior leadership.
- Create dashboards, analytical products, and decision-support tools that improve business performance.
Data Engineering & Cloud Platforms
- Partner with data engineers to design scalable data pipelines and feature stores.
- Work with large structured and unstructured datasets across cloud environments.
- Build and optimize data workflows using modern cloud technologies and distributed computing frameworks.
- Support data quality, governance, and reproducibility standards across analytics initiatives.
Cross-Functional Leadership
- Collaborate with Product, Operations, Finance, Supply Chain, Sales, and IT teams to identify opportunities for AI and advanced analytics.
- Mentor junior data scientists and analysts.
- Contribute to the organization's AI strategy, best practices, and technical standards roadmap.
- Lead analytical projects from ideation through deployment and business adoption.
Required Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Economics, Operations Research, or a related quantitative field.
- 5+ years of professional experience in Data Science, Machine Learning, Applied AI, or Advanced Analytics.
- Strong proficiency in Python and SQL.
- Experience developing and deploying machine learning models in production environments.
- Deep understanding of statistical modeling, machine learning algorithms, and model evaluation techniques.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Experience with large-scale data processing technologies such as Spark, Databricks, or distributed computing frameworks.
- Strong communication and stakeholder management skills.
- Demonstrated ability to independently lead complex analytical initiatives.
Preferred Qualifications
- Ph.D. in a quantitative discipline.
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Experience with NLP, LLMs, generative AI, and agent-based AI systems.
- Experience deploying APIs, machine learning services, or AI applications.
- Experience with supply chain, manufacturing, healthcare, financial services, or customer analytics.
- Experience with MLOps, CI/CD, model monitoring, and model governance frameworks.
- Published research, patents, conference presentations, or significant contributions to open-source projects.
Technical Skills
Programming
- Python
- SQL
- R (preferred)
Machine Learning & AI
- Scikit-Learn
- PyTorch
- TensorFlow
- XGBoost
- NLP
- Deep Learning
- Time Series Forecasting
- Optimization
- Generative AI
- Large Language Models (LLMs)
Data & Cloud Technologies
- Databricks
- Spark / PySpark
- Azure
- AWS
- Delta Lake
- SQL Server
- PostgreSQL
Visualization & Reporting
- Power BI
- Tableau
- Plotly
- Matplotlib
- Seaborn
Success in This Role
Within the first year, successful candidates will:
- Deliver machine learning solutions that create measurable business value.
- Establish trusted relationships with business stakeholders.
- Improve the speed and quality of analytical decision-making.
- Contribute to the company's AI and advanced analytics strategy.
- Help build a scalable, modern data science capability that supports long-term growth.
Premium Guard, Inc is an Equal Opportunity Employer.
Who we are:
Premium Guard, Inc, a privately held company, was established in 1996. We are a leading supplier of private label solutions in the automotive aftermarket. We have an exceptional commitment to performance, innovation, and partnership in the automotive aftermarket industry. Our focus is on designing, manufacturing and distributing products for automotive, diesel, power-sports and specialty filter markets.
We are seeking a Senior Data Scientist to design, develop, and deploy machine learning and artificial intelligence solutions that drive business decision-making and operational excellence. This role combines predictive modeling, statistical analysis, data engineering, and business partnership to solve complex problems and deliver measurable value across the organization.
The ideal candidate is equally comfortable building production-grade machine learning models, communicating findings to executive leadership, and collaborating with engineers, analysts, and business stakeholders. They possess a strong foundation in statistics and machine learning, hands-on experience working with large and complex datasets, and a track record of deploying solutions that influence business outcomes.
Key Responsibilities
Machine Learning & AI
- Develop, validate, deploy, and monitor machine learning models that support forecasting, optimization, customer intelligence, operational decision-making, and business growth.
- Design and implement advanced predictive models using supervised and unsupervised learning techniques.
- Perform feature engineering, model selection, hyperparameter tuning, and performance evaluation.
- Establish model governance processes, including documentation, explainability, fairness assessments, and monitoring.
Data Science & Analytics
- Translate business challenges into analytical frameworks and data-driven solutions.
- Conduct exploratory analysis, statistical testing, forecasting, and causal analysis to identify actionable insights.
- Present analytical findings and recommendations to technical and non-technical audiences, including senior leadership.
- Create dashboards, analytical products, and decision-support tools that improve business performance.
Data Engineering & Cloud Platforms
- Partner with data engineers to design scalable data pipelines and feature stores.
- Work with large structured and unstructured datasets across cloud environments.
- Build and optimize data workflows using modern cloud technologies and distributed computing frameworks.
- Support data quality, governance, and reproducibility standards across analytics initiatives.
Cross-Functional Leadership
- Collaborate with Product, Operations, Finance, Supply Chain, Sales, and IT teams to identify opportunities for AI and advanced analytics.
- Mentor junior data scientists and analysts.
- Contribute to the organization's AI strategy, best practices, and technical standards roadmap.
- Lead analytical projects from ideation through deployment and business adoption.
Required Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Economics, Operations Research, or a related quantitative field.
- 5+ years of professional experience in Data Science, Machine Learning, Applied AI, or Advanced Analytics.
- Strong proficiency in Python and SQL.
- Experience developing and deploying machine learning models in production environments.
- Deep understanding of statistical modeling, machine learning algorithms, and model evaluation techniques.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Experience with large-scale data processing technologies such as Spark, Databricks, or distributed computing frameworks.
- Strong communication and stakeholder management skills.
- Demonstrated ability to independently lead complex analytical initiatives.
Preferred Qualifications
- Ph.D. in a quantitative discipline.
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Experience with NLP, LLMs, generative AI, and agent-based AI systems.
- Experience deploying APIs, machine learning services, or AI applications.
- Experience with supply chain, manufacturing, healthcare, financial services, or customer analytics.
- Experience with MLOps, CI/CD, model monitoring, and model governance frameworks.
- Published research, patents, conference presentations, or significant contributions to open-source projects.
Technical Skills
Programming
- Python
- SQL
- R (preferred)
Machine Learning & AI
- Scikit-Learn
- PyTorch
- TensorFlow
- XGBoost
- NLP
- Deep Learning
- Time Series Forecasting
- Optimization
- Generative AI
- Large Language Models (LLMs)
Data & Cloud Technologies
- Databricks
- Spark / PySpark
- Azure
- AWS
- Delta Lake
- SQL Server
- PostgreSQL
Visualization & Reporting
- Power BI
- Tableau
- Plotly
- Matplotlib
- Seaborn
Success in This Role
Within the first year, successful candidates will:
- Deliver machine learning solutions that create measurable business value.
- Establish trusted relationships with business stakeholders.
- Improve the speed and quality of analytical decision-making.
- Contribute to the company's AI and advanced analytics strategy.
- Help build a scalable, modern data science capability that supports long-term growth.
Premium Guard, Inc is an Equal Opportunity Employer.
Principal Data Scientist Job Roles in Ohio
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Search Principal Data Scientist Jobs in OhioPrincipal Data Scientist Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for principal data scientists?
Ohio's largest visa sponsors for principal data scientist roles include Nationwide Insurance and Progressive in Columbus, Sherwin-Williams and Cleveland Clinic in Cleveland, and Procter and Gamble in Cincinnati. Large financial institutions and healthcare systems are the most consistent sponsors at the principal level because they maintain dedicated data science organizations large enough to absorb senior specialty occupation petitions.
Which visa types realistically apply to principal data scientist roles in Ohio?
Principal data scientist roles qualify as specialty occupations requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or applied mathematics. That means H-1B visa, E-3 visa for Australian nationals, H-1B1 visa for Chilean and Singaporean nationals, and EB-2 or EB-3 employment-based green cards all apply. OPT and STEM OPT are available to F-1 students whose degree is STEM-designated, allowing work authorization while pursuing longer-term sponsorship.
How to find principal data scientist visa sponsorship jobs in Ohio?
Migrate Mate lists Ohio principal data scientist roles specifically at employers with verified visa sponsorship history, so you can search by role and state without sorting through postings from companies that have never filed for a data scientist. Because the platform surfaces sponsorship data at the employer level, you can quickly identify which Ohio organizations have sponsored principal-level data science positions rather than relying on job descriptions that rarely state sponsorship intent clearly.
Which Ohio cities have the most principal data scientist sponsorship jobs?
Columbus leads Ohio for principal data scientist sponsorship, driven by Nationwide, JPMorgan Chase, and a growing tech startup sector around the Short North and Dublin corridors. Cleveland follows, anchored by Cleveland Clinic, University Hospitals, and Progressive Insurance. Cincinnati contributes through Procter and Gamble, Fifth Third Bank, and Western and Southern Financial Group. Dublin and Westerville also appear as employer locations within the Columbus metro.
Are there state-specific factors that affect principal data scientist sponsorship in Ohio?
Ohio's concentration of insurance carriers makes it one of the stronger Midwest states for principal data scientist sponsorship outside coastal markets. Insurance actuarial and risk modeling work frequently requires the advanced statistical skills that justify a specialty occupation classification. Ohio State University, Case Western Reserve, and the University of Cincinnati also create local talent pipelines that keep employers actively engaged in sponsoring international candidates at the senior contributor level.
What is the prevailing wage for sponsored principal 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.