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Behavioral Data Scientist Jobs in Ohio (NOW HIRING)

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

This role complements the Applied Data Scientist by owning the engineering foundations required to ... BEHAVIORAL SKILLS Strong engineering ownership mindset with minimal supervision Ability to ...

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

This role complements the Applied Data Scientist by owning the engineering foundations required to ... BEHAVIORAL SKILLS Strong engineering ownership mindset with minimal supervision Ability to ...

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

This role complements the Applied Data Scientist by owning the engineering foundations required to ... BEHAVIORAL SKILLS Strong engineering ownership mindset with minimal supervision Ability to ...

pMDI Research Scientist

Columbus, OH · On-site

$85 - $115/hr

... and manufacturing data to predict adhesive behavior, optimize formulations, and improve mill ... Monitor scientific, patent, regulatory, and competitive developments in pMDI, wood adhesives ...

Showing results 21-40

Behavioral Data Scientist information

See Ohio salary details

$43.7K

$156.9K

$231.5K

How much do behavioral data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for behavioral data scientist in Ohio is $156,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $161,600.00 per year, depending on experience, location, and employer.

What does a behavioral data scientist do?

A Behavioral Data Scientist analyzes human behavior using data-driven methods, combining psychology, data science, and machine learning. They work with behavioral data from sources like user interactions, surveys, and experiments to identify patterns and make predictions. Their insights help businesses optimize decision-making, improve user experiences, and influence behavior. They often collaborate with product teams, marketers, and researchers to drive data-informed strategies.

What are some typical projects or tasks a behavioral data scientist might work on?

As a Behavioral Data Scientist, you may analyze user engagement patterns, design and evaluate A/B tests, and build predictive models to better understand customer behavior across digital platforms. You could collaborate closely with product managers, UX researchers, and marketing teams to interpret data and recommend strategies that improve user experiences. Projects often involve sifting through large datasets, contextualizing findings with behavioral theory, and presenting actionable insights to stakeholders. This role offers a dynamic mix of technical analysis and creative problem-solving, with opportunities to have a direct impact on business strategy and product development.

What are the key skills and qualifications needed to thrive as a behavioral data scientist, and why are they important?

To thrive as a Behavioral Data Scientist, you need a solid background in statistics, behavioral science, data analysis, and machine learning, typically supported by an advanced degree in a quantitative field. Expertise with programming languages such as Python or R, familiarity with data visualization tools, and experience using behavioral analytics platforms are highly valued, with certifications in data science being a plus. Strong communication skills, curiosity, and an ability to translate complex findings for non-technical audiences set top candidates apart. These skills ensure you can extract actionable insights from behavioral data, drive data-informed decisions, and collaborate effectively with multidisciplinary teams.

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

The most popular types of Behavioral Data Scientist jobs in Ohio are:

What are popular job titles related to Behavioral Data Scientist jobs in Ohio?

For Behavioral Data Scientist jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Behavioral Data Scientist jobs?

Cities in Ohio with the most Behavioral Data Scientist job openings:

Infographic showing various Behavioral Data Scientist job openings in Ohio as of August 2026, with employment types broken down into 67% Full Time, 18% Part Time, and 15% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $156,882 per year, or $75.4 per hour.

Data Scientist Lead-Vice President

JPMorgan Chase & Co.

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 16 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description


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 on the Business Banking Lending Product Analytics team, 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.
  • Competent using AI tools to accelerate insight generation and improve solution quality, applying them responsibly in a regulated environment.
  • Hands-on experience across data platforms (on-prem and cloud), such as Teradata/Oracle and AWS/Snowflake.

Preferred Qualifications
  • Familiarity with Business Banking lending products and processes is a plus.
  • Experience with experimentation, forecasting, segmentation, or predictive modeling in a product setting.
  • Experience working in a regulated environment with risk and controls expectations.

About Us
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
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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