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Data Science Product Manager Jobs in Ohio (NOW HIRING)

... architects, product management, and subject matter experts to align analytics solutions to ... Essentials: * Bachelor's degree in Data Science, Computer Science, Statistics, Economics ...

$165 - $234/hr

Background in business operations, product, or growth data science at top‑tier technology companies. * Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and ...

We are looking for a Data Science Analyst who can not just report on performance, but also ... Ability to manage client expectations, present to non-technical audiences, and pivot quickly based ...

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

... data science products. * Experience in bank card/credit card business, consulting, retail ... Senior Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote ...

Lead Data Scientist

Columbus, OH · On-site

$144K - $250K/yr

... data science products. * Experience in bank card/credit card business, consulting, retail ... Senior Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote ...

- The Product Manager for Data leads the product strategy, roadmap, and lifecycle for data and reporting applications serving internal and external users. This role translates business needs into ...

The Product Manager for Data leads the product strategy, roadmap, and lifecycle for data and reporting applications serving internal and external users. This role translates business needs into ...

Showing results 21-40

Data Science Product Manager information

See Ohio salary details

$49K

$151.5K

$187.3K

How much do data science product manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science product manager in Ohio is $151,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,000.00 and $187,300.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What cities in Ohio are hiring for Data Science Product Manager jobs?

Cities in Ohio with the most Data Science Product Manager job openings:

Infographic showing various Data Science Product Manager job openings in Ohio as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $151,546 per year, or $72.9 per hour.

$60K - $77K/yr

Full-time

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Case Western Reserve University rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

33rd of 621 rated colleges and universities


Job description

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 $77,047, 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
  1. 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%)
  2. 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%)
  3. 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
  1. Understanding of common practice and procedures within the field of data science and statistical analysis.
  2. High proficiency in statistical programming languages, specifically R and SAS, and advanced usage of Google and Office Suite products.
  3. Strong attention to detail and ability to maintain accurate and reliable data recording, data curation, project administration, and note-taking
  4. Strong organizational and time management skills.
  5. Excellent oral and written communication skills with a proven track record in scientific writing and research presentation.
  6. Ability to manage multiple tasks, prioritize tasks, and meet strict project deadlines.
  7. Excellent interpersonal skills and the ability to work closely with colleagues and lead multi-disciplinary research teams.
  8. Ability to interpret, summarize, and communicate quantitative findings to research collaborators.
  9. Willingness and ability to learn new techniques, machine learning tools, and materials data science procedures as needed.
  10. 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.
  11. Ability to meet consistent attendance.
  12. 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.
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.
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