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Data Science Associate Jobs in Ohio (NOW HIRING)

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... Must be able to clearly understand and articulate a data science problem and work on it ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... Must be able to clearly understand and articulate a data science problem and work on it ...

[US] Data Analytics Associate

Mason, OH · Hybrid

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... Must be able to clearly understand and articulate a data science problem and work on it ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... Must be able to clearly understand and articulate a data science problem and work on it ...

Lead Data Engineer (P4519)

Cincinnati, OH · On-site

$125K - $207K/yr

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S ... Below is a list of some of the benefits we offer our associates: * Health: Medical: with ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ...

Showing results 21-40

Data Science Associate information

See Ohio salary details

$54.7K

$64.7K

$122.6K

How much do data science associate jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science associate in Ohio is $64,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $56,600.00 per year, depending on experience, location, and employer.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

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 Associate jobs in Ohio? For Data Science Associate jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Ohio look for? The top searched job categories for Data Science Associate jobs in Ohio are:
What cities in Ohio are hiring for Data Science Associate jobs? Cities in Ohio with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,684 per year, or $31.1 per hour.

Marketing Data Scientist Senior Associate - Consumer Bank

JPMorgan Chase & Co

Columbus, OH • On-site

$55K - $56K/yr

Full-time

Medical, Retirement

Re-posted yesterday


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

Join a team that measures what works in marketing and turns insights into smarter decisions. You will help shape how we evaluate customer acquisition quality, profitability, and return on investment across Consumer Bank deposit marketing. Here, your work directly influences how we invest and how customers experience our products-at meaningful scale.

As a Data Science Senior Associate at JPMorganChase within Consumer & Community Banking Data & Analytics, you will lead business- and finance-facing measurement of marketing performance, with a focus on customer acquisition quality and portfolio investment optimization. You will partner closely with marketing, test design, and stakeholder teams to design sound measurement approaches, interpret results, and translate findings into clear recommendations. You will operate with a strong controls mindset, producing accurate, timely, and reproducible analyses that improve both customer and business outcomes.

Job responsibilities

  • Lead analytics strategy, planning, and execution for Chase First Banking marketing campaigns
  • Deliver regular campaign performance measurement and reporting
  • Conduct unstructured, ad hoc analyses of customer behavior and engagement
  • Execute A/B (split) and incrementality test readouts, including interpretation and recommendations
  • Perform profitability, optimization, and return-on-investment analyses to inform investment decisions
  • Consult on experimental design and data collection, developing new measurement approaches with stakeholders and partner teams
  • Translate results into clear narratives and present insights to stakeholders and senior management
  • Contribute to innovation initiatives that advance analytics methods and scalability
  • Collaborate across Marketing Analytics and Test Design teams while supporting an inclusive team environment
  • Maintain a rigorous controls environment to ensure accurate, timely, and reproducible results

Required qualifications, capabilities, and skills

  • Master's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)
  • 3+ years of experience applying statistical methods to real-world business problems
  • 3+ years of experience using SQL and at least one of the following: SAS, Python, or R
  • Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development
  • Experience using data visualization techniques for analysis and stakeholder-ready storytelling
  • Hands-on experience with A/B (split) and incrementality testing methodologies, including experimental design, significance evaluation, and translating results into business recommendations
  • Strong written and verbal communication and presentation skills, with experience communicating effectively across levels and partner groups

Preferred qualifications, capabilities, and skills

  • Intellectual curiosity and motivation to build deep subject matter expertise in a focus area
  • Strategic thinking with an ability to stay anchored to measurable business goals
  • Strong organization skills with the ability to prioritize multiple workstreams effectively
  • Strong relationship-building skills and comfort partnering with key stakeholders
  • Tableau experience preferred

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

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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