Data Science Analyst Visa Sponsorship Jobs in Ohio
Ohio's data science analyst job market is anchored by employers like JPMorgan Chase, Nationwide, and Procter & Gamble, alongside a strong presence of health systems and manufacturing firms in Columbus, Cincinnati, and Cleveland. Several of these organizations have established visa sponsorship histories, making Ohio a practical target for international candidates pursuing data science analyst roles.
Find Data Science Analyst JobsOverview
Showing 5 of 101+ Data Science Analyst Jobs in Ohio with Visa Sponsorship
See all 101+ Data Science Analyst Jobs in Ohio with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Analyst Jobs in Ohio with Visa Sponsorship.
Get Access To All JobsSalary Grade
Case Western Reserve University is committed to providing a transparent estimate of the salary range available for this position at the time of its posting. The salary range is between $60,906 and $70,000, depending on qualifications, experience, department budgets, and industry data.
Employees receive more than just a paycheck. University employees enjoy a comprehensive benefits package that includes excellent healthcare, retirement plans, tuition assistance, paid time off, and a winter recess.
Job Description
POSITION OBJECTIVE
Working under general supervision, the Data Science Researcher will support the Department of Materials Science and Engineering and the Solar Durability and Lifetime Extension Research Center by planning and conducting data-driven research activities related to materials durability, degradation science, and environmentally exposed technologies. This role will develop data analysis pipelines, perform statistical analysis, manage complex data structures and contribute to technical reports, progress summaries, and scientific manuscripts for submission to academic journals and conference proceedings. This is a one-year term-funded position expected to continue for one year contingent on project needs, funding availability, and satisfactory performance.
ESSENTIAL FUNCTIONS
-
Conduct data science research to support Solar Durability and Lifetime Extension Research Center projects in materials durability, degradation science, and environmentally exposed technologies; develop and maintain data analysis pipelines, perform statistical and computational analyses, manage and create complex datasets, and present data using advanced statistical programming languages such as R and Python. (70%)
-
Coordinate research activities with faculty, staff, and student researchers to support timely completion of project goals; track progress against project milestones, maintain research documentation, participate in project planning and team meetings, and assist with implementation planning efforts for events, workshops, symposia, or other programmatic requirements to implement research initiatives. (20%)
-
Prepare and support dissemination of research products by conducting literature reviews, summarizing technical findings, contributing to technical reports, progress updates, presentations, posters, conference proceedings, and draft manuscripts, and ensuring research outputs are reviewed, documented, and released in accordance with project requirements and award guidelines (9%)
NONESSENTIAL FUNCTIONS
Perform other duties as assigned. (1%)
CONTACTS
Department: Solar Durability and Lifetime Extension Research Center Faculty Director and associated faculty members, Solar Durability and Lifetime Extension Research Center staff, postdoctoral scholars
University: Great Lakes Energy Institute staff, Materials Science and Engineering faculty and staff, limited contact with other university leadership, staff, and faculty as needed.
External: Research collaborators at partner Universities, National Laboratories, and Industry
Students: Graduate and undergraduate students, high school students participating in research.
SUPERVISORY RESPONSIBILITIES
No direct supervisory responsibility. May provide task direction, training, and project coordination for student researchers or other project personnel participating in supported research activities.
QUALIFICATIONS
Education and Experience: Bachelor's degree in statistics, data science, materials science, engineering, or a related quantitative field required and 2 to 3 years or a Master's degree in statistics, data science, materials science, engineering, or a related quantitative field required and 0 years of experience required. Prior experience in research data analysis, statistical modeling (such as applied regression, longitudinal data analysis, and experimental designs), data curation, and database management are highly preferred.
REQUIRED SKILLS
-
Understanding of common practice and procedures within the field of data science and statistical analysis.
-
High proficiency in statistical programming languages, specifically R and SAS, and advanced usage of Google and Office Suite products.
-
Strong attention to detail and ability to maintain accurate and reliable data recording, data curation, project administration, and note-taking.
-
Strong organizational and time management skills.
-
Excellent oral and written communication skills with a proven track record in scientific writing and research presentation.
-
Ability to manage multiple tasks, prioritize tasks, and meet strict project deadlines.
-
Excellent interpersonal skills and the ability to work closely with colleagues and lead multi-disciplinary research teams.
-
Ability to interpret, summarize, and communicate quantitative findings to research collaborators.
-
Willingness and ability to learn new techniques, machine learning tools, and materials data science procedures as needed.
-
Ability to demonstrate successful support, education, and advocacy for all students, aligned with the values, mission, and messaging of the university, while adhering to the staff policy on conflict of commitment and interest.
-
Ability to meet consistent attendance.
-
Ability to interact with colleagues, supervisors, and customers face to face.
WORKING CONDITIONS
General laboratory and office environments. This position may have contact with or exposure to computing clusters, environmental exposure chambers, characterization tools, or other specialized laboratory equipment. If laboratory safety training, personal protective equipment (PPE) including gloves, lab coat and protective eyewear is required, it will be provided where applicable. Limited travel to academic conferences and site visits.
Term Position
This is a Term position. They are treated like regular staff positions for medical and dental benefits eligibility, vacation, holidays, and sick time. Term employees are not eligible for life insurance, retirement, long term disability, short term disability, tuition assistance, layoff status, or severance pay. Staff in term positions are also subject to the performance management review process and positive corrective action when work performance or behavior is unsatisfactory or unacceptable. Term employment does not alter the employment-at-will employee status of these employees.
EEO Statement
Case Western Reserve University is an equal opportunity employer. All applicants are protected under federal and state laws and university policy from discrimination based on race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, protected veteran status, disability, age and genetic information.
Reasonable Accommodations
Case Western Reserve University complies with the Americans with Disabilities Act regarding reasonable accommodations for applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the CWRU Office of Equity at 216-368-3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicants will be made on a case-by-case basis.
Salary Grade
Case Western Reserve University is committed to providing a transparent estimate of the salary range available for this position at the time of its posting. The salary range is between $60,906 and $70,000, depending on qualifications, experience, department budgets, and industry data.
Employees receive more than just a paycheck. University employees enjoy a comprehensive benefits package that includes excellent healthcare, retirement plans, tuition assistance, paid time off, and a winter recess.
Job Description
POSITION OBJECTIVE
Working under general supervision, the Data Science Researcher will support the Department of Materials Science and Engineering and the Solar Durability and Lifetime Extension Research Center by planning and conducting data-driven research activities related to materials durability, degradation science, and environmentally exposed technologies. This role will develop data analysis pipelines, perform statistical analysis, manage complex data structures and contribute to technical reports, progress summaries, and scientific manuscripts for submission to academic journals and conference proceedings. This is a one-year term-funded position expected to continue for one year contingent on project needs, funding availability, and satisfactory performance.
ESSENTIAL FUNCTIONS
-
Conduct data science research to support Solar Durability and Lifetime Extension Research Center projects in materials durability, degradation science, and environmentally exposed technologies; develop and maintain data analysis pipelines, perform statistical and computational analyses, manage and create complex datasets, and present data using advanced statistical programming languages such as R and Python. (70%)
-
Coordinate research activities with faculty, staff, and student researchers to support timely completion of project goals; track progress against project milestones, maintain research documentation, participate in project planning and team meetings, and assist with implementation planning efforts for events, workshops, symposia, or other programmatic requirements to implement research initiatives. (20%)
-
Prepare and support dissemination of research products by conducting literature reviews, summarizing technical findings, contributing to technical reports, progress updates, presentations, posters, conference proceedings, and draft manuscripts, and ensuring research outputs are reviewed, documented, and released in accordance with project requirements and award guidelines (9%)
NONESSENTIAL FUNCTIONS
Perform other duties as assigned. (1%)
CONTACTS
Department: Solar Durability and Lifetime Extension Research Center Faculty Director and associated faculty members, Solar Durability and Lifetime Extension Research Center staff, postdoctoral scholars
University: Great Lakes Energy Institute staff, Materials Science and Engineering faculty and staff, limited contact with other university leadership, staff, and faculty as needed.
External: Research collaborators at partner Universities, National Laboratories, and Industry
Students: Graduate and undergraduate students, high school students participating in research.
SUPERVISORY RESPONSIBILITIES
No direct supervisory responsibility. May provide task direction, training, and project coordination for student researchers or other project personnel participating in supported research activities.
QUALIFICATIONS
Education and Experience: Bachelor's degree in statistics, data science, materials science, engineering, or a related quantitative field required and 2 to 3 years or a Master's degree in statistics, data science, materials science, engineering, or a related quantitative field required and 0 years of experience required. Prior experience in research data analysis, statistical modeling (such as applied regression, longitudinal data analysis, and experimental designs), data curation, and database management are highly preferred.
REQUIRED SKILLS
-
Understanding of common practice and procedures within the field of data science and statistical analysis.
-
High proficiency in statistical programming languages, specifically R and SAS, and advanced usage of Google and Office Suite products.
-
Strong attention to detail and ability to maintain accurate and reliable data recording, data curation, project administration, and note-taking.
-
Strong organizational and time management skills.
-
Excellent oral and written communication skills with a proven track record in scientific writing and research presentation.
-
Ability to manage multiple tasks, prioritize tasks, and meet strict project deadlines.
-
Excellent interpersonal skills and the ability to work closely with colleagues and lead multi-disciplinary research teams.
-
Ability to interpret, summarize, and communicate quantitative findings to research collaborators.
-
Willingness and ability to learn new techniques, machine learning tools, and materials data science procedures as needed.
-
Ability to demonstrate successful support, education, and advocacy for all students, aligned with the values, mission, and messaging of the university, while adhering to the staff policy on conflict of commitment and interest.
-
Ability to meet consistent attendance.
-
Ability to interact with colleagues, supervisors, and customers face to face.
WORKING CONDITIONS
General laboratory and office environments. This position may have contact with or exposure to computing clusters, environmental exposure chambers, characterization tools, or other specialized laboratory equipment. If laboratory safety training, personal protective equipment (PPE) including gloves, lab coat and protective eyewear is required, it will be provided where applicable. Limited travel to academic conferences and site visits.
Term Position
This is a Term position. They are treated like regular staff positions for medical and dental benefits eligibility, vacation, holidays, and sick time. Term employees are not eligible for life insurance, retirement, long term disability, short term disability, tuition assistance, layoff status, or severance pay. Staff in term positions are also subject to the performance management review process and positive corrective action when work performance or behavior is unsatisfactory or unacceptable. Term employment does not alter the employment-at-will employee status of these employees.
EEO Statement
Case Western Reserve University is an equal opportunity employer. All applicants are protected under federal and state laws and university policy from discrimination based on race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, protected veteran status, disability, age and genetic information.
Reasonable Accommodations
Case Western Reserve University complies with the Americans with Disabilities Act regarding reasonable accommodations for applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the CWRU Office of Equity at 216-368-3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicants will be made on a case-by-case basis.
Data Science Analyst Job Roles in Ohio
See all 101+ Data Science Analyst Jobs in Ohio
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Science Analyst Jobs in OhioData Science Analyst Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for data science analysts in Ohio?
Ohio's largest visa sponsors for data science analyst roles include JPMorgan Chase and Nationwide in Columbus, Procter & Gamble in Cincinnati, and Cleveland Clinic in Cleveland. Large insurers, regional banks, and manufacturing conglomerates like Kroger and Huntington Bancshares also have documented H-1B visa sponsorship histories. University-affiliated research centers and healthcare networks round out the employer base sponsoring analytical talent across the state.
Which visa types are most common for data science analyst roles in Ohio?
The H-1B is the most frequently used visa for data science analyst positions in Ohio, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as statistics, computer science, or mathematics. OPT and STEM OPT are common entry points for graduates from Ohio State, Case Western Reserve, and Cincinnati. The O-1A is an option for candidates with exceptional research or publication records.
Which cities in Ohio have the most data science analyst sponsorship jobs?
Columbus is Ohio's primary hub for data science analyst sponsorship, driven by its concentration of financial services firms, insurance companies, and a large state government presence. Cincinnati follows, with consumer goods companies and healthcare employers actively hiring analytical talent. Cleveland's health systems, particularly Cleveland Clinic and University Hospitals, generate consistent demand. Dayton has a smaller but notable presence tied to defense contractors and logistics firms.
How to find data science analyst visa sponsorship jobs in Ohio?
Migrate Mate is built specifically for international candidates and filters data science analyst roles in Ohio by visa sponsorship history, so you're not sifting through postings from employers who don't sponsor. Focus on Columbus and Cincinnati first, where sponsorship activity among financial, insurance, and consumer goods employers is most concentrated. Cross-reference any offer with the employer's LCA filing history through the DOL disclosure database to confirm active sponsorship.
Are there state-specific considerations for data science analysts seeking sponsorship in Ohio?
Ohio's prevailing wage requirements for H-1B positions are determined by the Bureau of Labor Statistics Occupational Employment and Wage Statistics data for each metropolitan area, meaning Columbus wages differ from those in Cleveland or Dayton. Ohio's strong university pipeline through Ohio State, Case Western Reserve, and University of Cincinnati means employers are accustomed to hiring and sponsoring international graduates. Candidates with STEM OPT should account for Ohio's competitive but accessible mid-market employer base outside major coastal hubs.
What is the prevailing wage for sponsored data science analyst 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.