Data Science Director Jobs in Ohio
Data Science Director jobs in Ohio are in strong and steady demand, concentrated in financial services, healthcare, manufacturing, and insurance sectors that anchor the state's economy from Columbus to Cleveland to Cincinnati. The market supports openings at every level, from senior individual contributors moving into their first leadership role through seasoned directors overseeing enterprise-wide analytics teams. Major employers with deep Ohio roots including Nationwide, Progressive, and the Cleveland Clinic routinely hire data science directors, and the most sought-after specialties are machine learning strategy, predictive analytics for operations, and AI governance. Find a role that fits below and apply directly.
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Showing 5 of 6+ Data Science Director jobs
Department Anderson Center General Operations
Shift Day (United States of America)
Schedule Full time
Weekly Hours 40
FTE 1
Employee Status Regular
- Expected Starting Pay Range $91,520.00 - $116,688.00
- Starting pay is based on experience, skills, and equity; exceptions may apply for highly qualified candidates. Additional pay (e.g., shift, on‑call, or weekend differentials) and benefits may apply. Annual pay may vary based on FTE status.
Problem Analysis and Project Management- Guide and inspire the organization about the potential and strategy of data science and artificial intelligence. Work with teams to understand, document and respond to requirements to meet moderate to highly complex analytic needs and identify data-driven opportunities. Understand new data sources and process pipelines and catalog/document them. Determine requirements that will be used to train and evolve deep learning models and algorithms. Communicate and follow Data/AI Governance principles. Prioritize, scope, and manage data science projects and the corresponding key performance indicators (KPIs) for success. Execute own project tasks with urgency and to a high level of quality. Communicate status clearly and effectively using departmental project management tools. Follow time-tracking and other project management requirements. Lead project meetings and workgroups.
Data Exploration and Preparation- Create datasets using Enterprise data preparation tools. Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)Machine Learning to moderate to high complex questions. Generate hypotheses about the underlying mechanics of the business/clinical process. Test hypotheses using various quantitative methods. Proactively mine data warehouses to identify trends and patterns and generate insights for business units and senior leadership. Display drive and curiosity to understand the business/clinical process and collaborate with domain experts to better understand the system workflows and generation of data. Train other business and IT staff on basic data science principles and techniques.
Presentation & Operationalization- Prepare reports, presentations and visualizations to share insights with clinical, operational and research teams, using data display standards and best practice. Collaborate with data engineers, Xops teams and appropriate IT teams to automate and deploy solutions using established best practices,including source control and continuous monitoring. Integrate performance management and data quality tools into the current business infrastructure. Collaborate with other data science teams within the organization to evangelize and ensure compliance to organizational analytic practices and encourage reuse of artifacts. Collaborate with IT teams to inform Analytics production infrastructure processes.
Technical and Analytical Skill- Develop mastery in IT skills in coding languages (Python, R, etc) and database programming languages for both relational and non relational data structures. Develop expertise in data wrangling, data mining, data & quantitative analysis. Develop proficiency in distributed data/computing tools: MapReduce, Hadoop, HIVE etc. Become proficient in using the Enterprise Data tools as appropriate. Develop strong understanding of Xops methods to partner on data pipelines. Develop ability to communicate complex results to technical and non-technical audiences, using story telling and creative visualizations. Continue to upskill through courses, local academia, networking etc. Ability to mentor & coach junior level data science analysts.
Consulting- Serves as a consultant to clinical, operation and research teams, regarding complex statistical & analytical issues.
JOB QUALIFICATIONS
Master's degree in computer science, statistics, economics or related fields
5+ years of work experience in a related job discipline
Preferred: 3+ years of relevant project experience in successfully launching, planning AND executing data science projects
Preferred: Experience in other IT roles or functions such as quality assurance/testing, development, enterprise architecture, or project management. Demonstrated the ability to manage large data science projects and various teams
About Us
At Cincinnati Children’s, we come to work with one goal: to make children’s health better. We believe in a holistic team approach, both in caring for patients and their families, and in advancing science and discovery. We strive to do better and find energy and inspiration in our shared purpose. If you want to be the best you can be, you can do it at Cincinnati Children’s.
Cincinnati Children's is:
Recognized by U.S. News & World Report as a top 10 best Children's Hospitals in the nation for more than 15 years
Consistently among the top 3 Children's Hospitals for National Institutes of Health (NIH) Funding
Recognized as one of America’s Best Large Employers (2025) , America’s Best Employers for New Grads (2025)
One of the nation's America’s Most Innovative Companies as noted by Fortune
Consistently certified as great place to work
A Leading Disability Employer as noted by the National Organization on Disability
Magnet® designated for the fourth consecutive time by the American Nurses Credentialing Center (ANCC)
We Embrace Innovation—Together. We believe in empowering our teams with the tools that help us work smarter and care better. That’s why we support the responsible use of artificial intelligence. By encouraging innovation, we’re creating space for new ideas, better outcomes, and a stronger future—for all of us.
Comprehensive job description provided upon request.
Cincinnati Children’s is proud to be an Equal Opportunity Employer committed to creating an environment of dignity and respect for all our employees, patients, and families. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, genetic information, national origin, sexual orientation, gender identity, disability or protected veteran status. EEO/Veteran/Disability
Department Anderson Center General Operations
Shift Day (United States of America)
Schedule Full time
Weekly Hours 40
FTE 1
Employee Status Regular
- Expected Starting Pay Range $91,520.00 - $116,688.00
- Starting pay is based on experience, skills, and equity; exceptions may apply for highly qualified candidates. Additional pay (e.g., shift, on‑call, or weekend differentials) and benefits may apply. Annual pay may vary based on FTE status.
Problem Analysis and Project Management- Guide and inspire the organization about the potential and strategy of data science and artificial intelligence. Work with teams to understand, document and respond to requirements to meet moderate to highly complex analytic needs and identify data-driven opportunities. Understand new data sources and process pipelines and catalog/document them. Determine requirements that will be used to train and evolve deep learning models and algorithms. Communicate and follow Data/AI Governance principles. Prioritize, scope, and manage data science projects and the corresponding key performance indicators (KPIs) for success. Execute own project tasks with urgency and to a high level of quality. Communicate status clearly and effectively using departmental project management tools. Follow time-tracking and other project management requirements. Lead project meetings and workgroups.
Data Exploration and Preparation- Create datasets using Enterprise data preparation tools. Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)Machine Learning to moderate to high complex questions. Generate hypotheses about the underlying mechanics of the business/clinical process. Test hypotheses using various quantitative methods. Proactively mine data warehouses to identify trends and patterns and generate insights for business units and senior leadership. Display drive and curiosity to understand the business/clinical process and collaborate with domain experts to better understand the system workflows and generation of data. Train other business and IT staff on basic data science principles and techniques.
Presentation & Operationalization- Prepare reports, presentations and visualizations to share insights with clinical, operational and research teams, using data display standards and best practice. Collaborate with data engineers, Xops teams and appropriate IT teams to automate and deploy solutions using established best practices,including source control and continuous monitoring. Integrate performance management and data quality tools into the current business infrastructure. Collaborate with other data science teams within the organization to evangelize and ensure compliance to organizational analytic practices and encourage reuse of artifacts. Collaborate with IT teams to inform Analytics production infrastructure processes.
Technical and Analytical Skill- Develop mastery in IT skills in coding languages (Python, R, etc) and database programming languages for both relational and non relational data structures. Develop expertise in data wrangling, data mining, data & quantitative analysis. Develop proficiency in distributed data/computing tools: MapReduce, Hadoop, HIVE etc. Become proficient in using the Enterprise Data tools as appropriate. Develop strong understanding of Xops methods to partner on data pipelines. Develop ability to communicate complex results to technical and non-technical audiences, using story telling and creative visualizations. Continue to upskill through courses, local academia, networking etc. Ability to mentor & coach junior level data science analysts.
Consulting- Serves as a consultant to clinical, operation and research teams, regarding complex statistical & analytical issues.
JOB QUALIFICATIONS
Master's degree in computer science, statistics, economics or related fields
5+ years of work experience in a related job discipline
Preferred: 3+ years of relevant project experience in successfully launching, planning AND executing data science projects
Preferred: Experience in other IT roles or functions such as quality assurance/testing, development, enterprise architecture, or project management. Demonstrated the ability to manage large data science projects and various teams
About Us
At Cincinnati Children’s, we come to work with one goal: to make children’s health better. We believe in a holistic team approach, both in caring for patients and their families, and in advancing science and discovery. We strive to do better and find energy and inspiration in our shared purpose. If you want to be the best you can be, you can do it at Cincinnati Children’s.
Cincinnati Children's is:
Recognized by U.S. News & World Report as a top 10 best Children's Hospitals in the nation for more than 15 years
Consistently among the top 3 Children's Hospitals for National Institutes of Health (NIH) Funding
Recognized as one of America’s Best Large Employers (2025) , America’s Best Employers for New Grads (2025)
One of the nation's America’s Most Innovative Companies as noted by Fortune
Consistently certified as great place to work
A Leading Disability Employer as noted by the National Organization on Disability
Magnet® designated for the fourth consecutive time by the American Nurses Credentialing Center (ANCC)
We Embrace Innovation—Together. We believe in empowering our teams with the tools that help us work smarter and care better. That’s why we support the responsible use of artificial intelligence. By encouraging innovation, we’re creating space for new ideas, better outcomes, and a stronger future—for all of us.
Comprehensive job description provided upon request.
Cincinnati Children’s is proud to be an Equal Opportunity Employer committed to creating an environment of dignity and respect for all our employees, patients, and families. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, genetic information, national origin, sexual orientation, gender identity, disability or protected veteran status. EEO/Veteran/Disability
See All 6 Data Science Director Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Science Director JobsData Science Director Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Science Director Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What Ohio Employers Look For
The qualifications that appear most often in data science director jobs across Ohio.
- Bachelor's or master's degree in data science, statistics, computer science, or a related field
- Seven or more years of experience in data science or analytics with at least three in a leadership role
- Proven ability to build, manage, and mentor data science teams of five or more people
- Deep proficiency in Python, R, SQL, and machine learning frameworks such as TensorFlow or PyTorch
- Experience translating complex analytical findings into strategic recommendations for executive stakeholders
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud in an enterprise environment
Data Science Director Jobs in Ohio: Frequently Asked Questions
How do you become a data science director in Ohio?
Data science director is not a state-licensed role in Ohio, so there is no required board exam or registration. The typical Ohio path starts with a bachelor's degree in a quantitative field, followed by progressive experience in analytics or data science roles. Most directors in Ohio hold a master's degree or have equivalent industry depth in sectors like insurance, healthcare, or manufacturing. Certifications in cloud platforms or machine learning strengthen a candidacy, but demonstrated leadership experience and a portfolio of business impact carry more weight with Ohio hiring managers.
How much do data science directors make in Ohio?
Data science directors in Ohio earn a median of about $102,630 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $61,710 for the lowest 10% to over $160,650 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science directors in Ohio?
Employers hiring data science directors in Ohio right now include JPMorganChase, Further, and Credence, based on current listings on Migrate Mate as of August 2026. Ohio's dense concentration of Fortune 500 insurance and financial services headquarters, along with large health systems, means consistent and recurring demand for this role across the state.
Which Ohio cities have the most data science director jobs?
Columbus, Cleveland, and Cincinnati account for the largest share of data science director openings in Ohio. Columbus leads because it is home to major insurance carriers, fintech firms, and the Nationwide and JPMorgan Chase operations that consistently build out analytics leadership, while Cleveland and Cincinnati draw demand from healthcare systems and consumer goods companies anchored in those metros.
Are there remote data science director jobs in Ohio?
Yes, and more than most fields. About 100% of data science director openings tied to Ohio are remote or hybrid as of August 2026, reflecting the largely desk-based and cloud-driven nature of the work. Strategic, model-development, and reporting responsibilities are the functions most frequently offered with location flexibility, while roles requiring close collaboration with on-site engineering or operations teams are more likely to expect in-person presence.
How can I get hired as a data science director in Ohio with little or no experience?
The most realistic entry path is moving into a lead or principal data scientist role at a mid-size Ohio employer first, building toward director responsibility from the inside. Large Ohio institutions such as the Cleveland Clinic, Nationwide, and Progressive run structured rotational or associate programs that place analytical talent on leadership tracks. Candidates from adjacent roles like senior analytics engineer, data engineering manager, or business intelligence lead are routinely considered. A strong project portfolio demonstrating cross-functional impact, combined with a master's degree or professional certification in machine learning, gives candidates the clearest edge in Ohio hiring conversations.
Where can I find and apply to data science director jobs in Ohio?
You can find and apply to data science director jobs in Ohio directly on Migrate Mate, which lists current Ohio openings updated in real time. Search the listings to find roles that match your experience and location, then apply directly to the ones that fit.
See All 6 Data Science Director Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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