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Data Science Manager Jobs in Ohio (NOW HIRING)

Munich Re

Data Scientist

Amelia, OH · On-site

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Munich Re

Data Scientist

Amelia, OH · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Munich Re

Data Scientist

Columbus, OH · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Stryker

Data Science Intern - Remote

Bowling Green, OH · On-site

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

Stryker

Data Science Intern - Remote

Toledo, OH · On-site

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

Stryker

Data Science Intern - Remote

Columbus, OH · On-site

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

Stryker

Data Science Intern - Remote

Cleveland, OH · On-site

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

ComResource

Data Scientist

Columbus, OH

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

1872 Consulting

Data Scientist III

Akron, OH · On-site

... of data management tools (graph databases, HDF5, Parquet, etc.) • Minimum: Bachelor's in Data Science or equivalent. • At least 5 years of experience working as a Data Scientist with ...

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Required Qualifications * 3+ years of applied Data Science experience. * Strong experience with ... Experience with MLOps, deployment, orchestration, monitoring, and model lifecycle management.

1872 Consulting

Data Scientist III

Akron, OH · On-site

... of data management tools (graph databases, HDF5, Parquet, etc.) • Minimum: Bachelor's in Data Science or equivalent. • At least 5 years of experience working as a Data Scientist with ...

Bread Financial

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Senior Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote ...

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Data Science Manager information

See Ohio salary details

$29.5K

$92.4K

$163.5K

How much do data science manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data science manager in Ohio is $92,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $119,300.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

What are the most commonly searched types of Data Science jobs in Ohio?

The most popular types of Data Science jobs in Ohio are:

What are popular job titles related to Data Science Manager jobs in Ohio?

For Data Science Manager jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Science Manager jobs in Ohio look for?

The top searched job categories for Data Science Manager jobs in Ohio are:

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

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

Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.

Data Scientist

Munich Re

Amelia, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Drive the future of AI-powered decision-making by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes.
American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property - such as manufactured homes and specialty dwellings - and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can't. We write admitted products in all 50 states and have a premium volume of $2.2 billion.
Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re's Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.
Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand-in-hand with ML Engineers to deploy models and verify system performance, and monitor models post-deployment, making adjustments as needed. Join us in building AI/ML models that truly drive business value and make a measurable impact.
Roles & Responsibilities:
  • Build and deploy AI/ML models with general guidance.
  • Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing.
  • Participate in the development of modeling presentations and present results/topics to stakeholders (internal & external) and management as requested.
  • Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.
  • Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.
  • Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.
  • Document and communicate assumptions, results, and alternatives to team members and internal stakeholders with guidance.
  • Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.
  • Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders' requests and hidden issues and explain possible solutions in their language.
  • Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.
  • Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.

Required Technical Skills:
  • Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge.
  • Demonstrated experience building and deploying statistical and machine learning models to address business challenges.
  • Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.
  • Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.
  • Familiarity with tools such as MLflow for model experimentation and registration, Git for version control, and agile frameworks using tools like Azure DevOps.

Skills / Knowledge / Experience:
  • Develop and project manage modeling projects and statistical analyses.
  • Effectively communicate results to business partners and help drive business decisions.
  • Participate in creation and discussion of best practices and propose new techniques.
  • Mentor junior team members.
  • Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry.
  • Sr. Data Scientist: 4 or more years of data science/predictive analytics experience in (re)insurance or 6 or more years predictive modeling experience in another industry.

Education, Certifications & Designations:
  • Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major

We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:
  • Two options for your health insurance plan (PPO or High Deductible)
  • Prescription drug coverage (included in your health insurance plan)
  • Vision and dental insurance plans
  • Short and Long Term Disability coverage
  • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)
  • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)

In addition to the above insurance offerings, our employees also enjoy:
  • A robust 401k plan with up to a 5% employer match
  • A retirement savings plan that is 100% company funded
  • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries
  • Eligibility to receive a yearly bonus as a Munich Re employee
  • A variety of health and wellness programs provided at no cost
  • A hybrid environment that gives you a choice in where and how you get work done
  • A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop
  • An on-site complimentary workout facility as well as walking trails on campus grounds
  • On-site wellness center complete with nurse practitioner
  • Financial assistance for adoptions and infertility treatment
  • Paid time off for eligible family care needs
  • Tuition assistance and educational achievement bonuses
  • Free parking
  • A corporate matching gifts program that further enhances your charitable donation
  • Paid time off to volunteer in your community

At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Applicants requiring employer sponsorship of a visa will not be considered for this position.
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