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Data Science Manager Jobs in Ohio (NOW HIRING)

Quadax

Data Science Analyst

Middleburg Heights, OH · On-site

You'll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You'll leverage data ...

Further

Data Science Analyst

Cleveland, OH · On-site

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 ...

Quadax, Inc.

Data Science Analyst

Cleveland, OH · On-site +1

You'll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You'll leverage data ...

84.51°

Director Data Science (P2415)

Cincinnati, OH · On-site

Enable & manage a team of data scientists in delivering strategic objectives and work plans while ... developing their individual technical and business skills QUALIFICATIONS, SKILLS, AND EXPERIENCE ...

GRVTY

Data Science - Senior

Dayton, OH · On-site

Build and manage datasets for training and evaluation in collaboration with subject matter experts ... Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ...

GRVTY

Data Science - Senior

Dayton, OH · On-site

Build and manage datasets for training and evaluation in collaboration with subject matter experts ... Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ...

prince

Color Science Specialist

Ashtabula, OH · On-site

Develops proficiency for all associated computer-based data entry. * Brings improvement suggestions to Color Scientists and the Color Science Manager. * Maintains good housekeeping practices for ...

Sequoia Financial Group Llc

Data Scientist

Dublin, OH · On-site

... management services. At Sequoia, we exist with a singular purpose: to enrich lives. Our values ... Translate business requirements into data science problems and design appropriate modeling ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

... Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

... Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging ...

Deloitte

AI and Data Science Engineer III

Cleveland, OH · On-site

$111K - $133K/yr

As an AI Data Science Engineer III, you will work directly Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to ...

Deloitte

AI and Data Science Engineer III

Cincinnati, OH · On-site

$109K - $131K/yr

As an AI Data Science Engineer III, you will work directly Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to ...

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All JobsData Science Manager JobsData Science Manager Jobs in Ohio

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 Jun 10, 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 are the primary responsibilities of a Data Science Manager on a day-to-day basis?

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 is a Data Science Manager job?

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 are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

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 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 June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.
Data Science Analyst

Data Science Analyst

Quadax

Middleburg Heights, OH • On-site

Full-time

Posted 12 days ago

Quadax rating

6.7

Company rating: 6.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

149th of 188 rated software companies

Job description

Summary:
Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You'll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You'll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You'll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.
Responsibilities:
  • Ability to analyze complex data sets and create actionable insights
  • Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits
  • Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
  • Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling
  • Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality
  • Performs validation and testing to confirm the accuracy of the information created
  • Interprets results of analyses, identifies trends, and issues, and develops recommendations to support business objectives
  • Communicates complex information so that it is easy to understand and influences others to take action based on the useful information provided
  • Facilitate the design and development of product features
  • Interview subject matter experts, customers, and other stakeholders to identify and clarify requirements
  • Establish rapport with stakeholders and ensure that their questions and concerns are clearly documented
  • Present on-time delivery of requirements and user stories/specifications
  • Support the creation and maintenance of project documentation
  • Write user stories, technical requirements for projects including complex business rules, logic flow diagrams, conditional logic, use cases and specific workflows

Qualifications:
  • Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
  • 2+ years of experience working in Data Science
  • Professional experience with, and more than a basic understanding of AI technology
  • Proficient in building process flow diagrams and data mapping
  • Experience with agile development and software development life cycle (SDLC) processes
  • Proficiency with SQL programming
  • Extensive experience working in a BI environment and familiarity with data warehouses
  • Extensive experience in gathering and documenting business requirements
  • Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps
  • Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results
  • Excellent written and verbal communication skills

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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