Data Scientist Jobs in Ohio
Data Scientist jobs in Ohio are in strong and steady demand, concentrated in financial services, healthcare analytics, insurance, and manufacturing intelligence, with openings at every level from entry-level analyst through senior and principal roles. Columbus, Cleveland, and Cincinnati drive the most hiring, anchored by employers like Nationwide, Huntington Bancshares, and the Cleveland Clinic, all of which maintain substantial analytics and data science functions. The most in-demand specialties in Ohio are predictive modeling, machine learning engineering, and healthcare data analytics. Find a role that fits below and apply directly.
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Bring your quantitative skills to help shape the future of small business lending. If you enjoy tackling ambiguous problems, building strong measurement frameworks, and using modern analytics and AI to create executive-ready insights, you'll thrive in this role.
As a Data Scientist Lead - Business Banking Lending - Vice President, you'll partner closely with business stakeholders to design and deliver analytics that senior leaders can act on; turning complex data into clear, confident decisions. You'll partner closely with Lending Strategy and Product leaders to build defensible metrics, run deep-dive analyses, and deliver benchmarking and reporting that leadership can act on. This role will require you to be strategy-oriented and focused on performance insights across the lending lifecycle.
You will operate as a trusted analytics partner—framing high-impact business questions, defining measurement approaches, building and validating datasets, and translating complex findings into clear, actionable recommendations. You will establish repeatable KPI and reporting frameworks (with strong documentation and controls), deliver benchmarking and peer comparisons where relevant, and help build scalable analytical solutions that improve how we monitor performance and support our customers and bankers.
Your work will drive meaningful business impact by deepening our understanding of customer behavior, identifying growth and experience opportunities, and supporting the ongoing evolution of our lending products—while maintaining strong data quality and governance.
Job Responsibilities
- Build strong relationships with Product Managers and functional partners (Operation, Risk, Controls, Finance, Tech). Own the development and execution of analyses and reporting from end to end (problem framing data sourcing analysis/modeling insights
- stakeholder review).
- Translate complex findings into clear, non-technical summaries and recommendations for senior stakeholders.
- Think from a business standpoint and connect the “why” to the data, assumptions, and trade-offs.
- Define and maintain KPI logic and documentation to support auditability and consistent measurement.
- Identify opportunities to improve measurement, automation, and analytical workflows (including AI-assisted approaches where appropriate).
Required Qualifications, Capabilities, and Skills
- Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, or related discipline) and 5+ years of experience in advanced analytics roles.
- Strong skills in SQL and modern analytics programming (e.g., Python/R) for data querying, transformation, analysis, and validation.
- Proficiency in statistical analysis and product/customer analytics methods (e.g., hypothesis testing, predictive modeling, experimentation/measurement design).
- Ability to translate ambiguous business questions into structured analytical approaches and actionable recommendations, with clear, executive-ready storytelling.
- Effective working cross-functionally in a dynamic product environment, aligning stakeholders and driving decisions.
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
See All 43 Data Scientist Jobs in Ohio
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Find Data Scientist JobsData Scientist Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Scientist Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring


Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
- Electronics & Hardware
- Distribution & Wholesale
What Ohio Employers Look For
The qualifications that appear most often in data scientist jobs across Ohio.
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related field
- Proficiency in Python or R for data manipulation, modeling, and analysis
- Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Familiarity with SQL and cloud platforms like AWS, Azure, or Google Cloud
- Ability to communicate analytical findings clearly to non-technical business stakeholders
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib
Data Scientist Jobs in Ohio: Frequently Asked Questions
How do you become a data scientist in Ohio?
No state-issued license is required to work as a data scientist in Ohio. The typical path begins with a bachelor's degree in statistics, computer science, or mathematics, often followed by a master's degree for more competitive roles. Ohio employers, particularly in financial services and healthcare, place strong weight on demonstrated portfolio work, internship experience at Ohio-based firms or universities, and proficiency in Python, SQL, and machine learning frameworks.
How much do data scientists make in Ohio?
Data scientists 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 scientists in Ohio?
Employers hiring data scientists in Ohio right now include JPMorganChase, Huntington Bank, and Allen Integrated Solutions, based on current listings on Migrate Mate as of November 2026. Ohio's concentration of large insurance carriers, regional banks, and integrated health systems means demand is distributed across multiple sectors rather than clustering in a single industry.
Which Ohio cities have the most data scientist jobs?
Columbus, Dayton, and Cleveland have the most data scientist openings in Ohio. Columbus leads due to the headquarters presence of Nationwide, Huntington, and a growing tech corridor, while Cleveland's volume is driven by healthcare anchors like Cleveland Clinic and University Hospitals, and Cincinnati benefits from corporate headquarters including Procter and Gamble and major financial institutions.
Are there remote data scientist jobs in Ohio?
Yes, and more than most fields. About 57% of data scientist openings tied to Ohio are remote or hybrid as of November 2026, reflecting how desk-based and analytically focused the role is by nature. Modeling, pipeline development, and reporting work are the functions most commonly performed fully remotely, while roles embedded in product or engineering teams more often require some on-site presence.
How can I get hired as a data scientist in Ohio with little or no experience?
The most realistic entry path is applying for data analyst or business intelligence analyst roles at Ohio employers, then moving into data science as you build a modeling portfolio. Large Ohio institutions including Cleveland Clinic, Nationwide, and Ohio State University run internship and new-graduate programs that welcome candidates without professional experience. A strong GitHub portfolio demonstrating machine learning projects, along with completion of a recognized credential such as a Google Data Analytics certificate, gives Ohio applicants a concrete edge over other entry-level candidates.
Where can I find and apply to data scientist jobs in Ohio?
You can find and apply to data scientist jobs in Ohio on Migrate Mate, which lists current Ohio openings from employers actively hiring. Find the roles that fit your background and apply directly to each one.
See All 43 Data Scientist Jobs in Ohio
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