Principal Research Scientist Visa Sponsorship Jobs in Ohio
Principal research scientist jobs in Ohio draw international candidates to major research institutions and life sciences employers across Columbus, Cleveland, and Cincinnati. Ohio State University, Battelle Memorial Institute, Nationwide Children's Hospital, and companies like Procter & Gamble and Abbott actively hire for these roles and have established visa sponsorship programs for qualified scientists.
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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 Research Scientist Job Roles in Ohio
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Search Principal Research Scientist Jobs in OhioPrincipal Research Scientist Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for principal research scientists?
Ohio has a strong concentration of research-intensive employers that have sponsored work visas for senior scientists. Battelle Memorial Institute in Columbus, Procter & Gamble and Medpace in Cincinnati, the Cleveland Clinic, and Nationwide Children's Hospital have all filed Labor Condition Applications for research scientist roles. Ohio State University and Case Western Reserve University also sponsor international faculty and research staff through academic hiring pipelines.
What visa types realistically apply to principal research scientist roles in Ohio?
Principal research scientist roles typically qualify as specialty occupations requiring a directly related advanced degree, making H-1B visa the most common path. H-1B1 visa is available to Chilean and Singaporean nationals, and E-3 visa applies to Australian nationals, both for specialty occupation roles. J-1 visa exchange visitor status works for research scholars at academic or nonprofit institutions. For long-term stays, EB-2 green card sponsorship through PERM or the National Interest Waiver is a realistic pathway given the research contributions typical of these roles.
Which Ohio cities have the most principal research scientist sponsorship jobs?
Columbus leads Ohio for principal research scientist positions, anchored by Ohio State University, Battelle, and a growing biotech sector. Cleveland follows closely, with the Cleveland Clinic, University Hospitals, and Case Western Reserve driving demand in biomedical research. Cincinnati has a notable presence through Procter & Gamble's R&D operations and contract research organizations like Medpace. Smaller hubs in Dayton and Akron also host defense research and polymer science employers with sponsorship history.
How to find principal research scientist visa sponsorship jobs in Ohio?
Migrate Mate lists principal research scientist roles in Ohio filtered to employers with verified visa sponsorship history, so you can focus on companies that have actually filed for research scientist positions rather than applying broadly. Ohio's research sector spans life sciences, materials science, and defense, so filtering by industry alongside sponsorship history helps narrow to roles where your specialty aligns with what Ohio employers are actively hiring and sponsoring.
Are there any Ohio-specific factors that affect visa sponsorship for principal research scientists?
Ohio's high concentration of nonprofit research institutions, university medical centers, and federally funded labs creates meaningful pathways beyond corporate sponsorship. Institutions like Battelle and university-affiliated research centers often qualify as cap-exempt H-1B employers, meaning they can file petitions year-round without competing in the annual lottery. Ohio's life sciences and advanced materials sectors have also expanded following state economic development investments, increasing the number of private employers with active sponsorship programs for senior research roles.
What is the prevailing wage for sponsored principal research 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.