Data Science Manager Visa Sponsorship Jobs in Ohio
Ohio's data science manager roles are concentrated in Columbus, Cleveland, and Cincinnati, where employers like JPMorgan Chase, Nationwide, and Procter & Gamble regularly hire for senior analytics leadership. The state's blend of financial services, insurance, retail, and healthcare sectors creates consistent demand for data science managers with visa sponsorship.
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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 Manager Job Roles in Ohio
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Search Data Science Manager Jobs in OhioData Science Manager Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for data science managers in Ohio?
Several large Ohio-based employers have established records of sponsoring work visas for data science managers. These include JPMorgan Chase and KeyBank in financial services, Nationwide and Progressive Insurance in insurance, Procter & Gamble and Kroger in consumer goods, and major health systems like Cleveland Clinic and OhioHealth. Large tech-adjacent firms and consulting practices with Ohio offices also sponsor regularly for senior analytics roles.
Which visa types are most common for data science manager roles in Ohio?
The H-1B visa is the most common visa for data science managers in Ohio, as the role consistently qualifies as a specialty occupation requiring a related bachelor's degree or higher. Candidates already holding L-1A or L-1B status through a multinational employer may transfer into Ohio-based positions. Those with extraordinary ability or national interest waiver eligibility may pursue O-1 visa or EB-2 NIW pathways, though these require substantial documentation.
Which cities in Ohio have the most data science manager sponsorship jobs?
Columbus leads Ohio for data science manager sponsorship activity, driven by its concentration of financial services, insurance, and retail headquarters. Cleveland is a strong second, particularly through its large healthcare systems and banking institutions. Cincinnati generates demand from consumer goods companies, notably Procter & Gamble. Smaller markets like Dayton and Akron offer occasional opportunities through manufacturing and regional healthcare employers.
How to find data science manager visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data science manager roles in Ohio without sifting through positions that don't offer sponsorship. You can narrow results by city, industry, and role level. Because Ohio's sponsoring employers span financial services, insurance, and healthcare, filtering by sector on Migrate Mate helps you target the industries most actively hiring at the manager level.
Are there state-specific or role-specific considerations for data science manager sponsorship in Ohio?
Ohio does not impose state-level visa requirements beyond federal standards, but employers must meet Department of Labor prevailing wage obligations when filing an H-1B Labor Condition Application for a data science manager role. Ohio's large public universities, including Ohio State and Case Western Reserve, contribute a pipeline of international graduate talent that some employers actively recruit into management tracks. Employers in regulated industries like banking and insurance may have additional internal compliance review before extending sponsorship offers.
What is the prevailing wage for sponsored data science manager 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.