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Data Science Associate Jobs in Ohio (NOW HIRING)

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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 ...

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Data Science Associate information

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$54.7K

$64.7K

$122.6K

How much do data science associate jobs pay per year?

As of Jul 22, 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.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

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 is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

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:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $64,684 per year, or $31.1 per hour.
Marketing Data Scientist Senior Associate - Consumer Bank

Marketing Data Scientist Senior Associate - Consumer Bank

J.P. Morgan

Columbus, OH • On-site

$57K - $57K/yr

Full-time

Medical, Retirement

Posted 20 days ago

Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Join a team where your analysis directly influences how Chase invests in consumer banking growth. You'll help measure marketing effectiveness, turn test learnings into strategy, and improve how we optimize marketing spend through a robust present value framework - while learning alongside a collaborative, inclusive group of data professionals.

As a Consumer Bank Marketing Analytics Data Scientist at JPMorganChase within Consumer & Community Banking Data & Analytics, you will evaluate customer acquisition quality for deposit marketing initiatives, inform campaign strategy through rigorous experimentation, and improve investment decisions using present value modeling. You will develop, maintain, and enhance present value models and ad hoc estimates, and you will partner closely with stakeholders to translate analytical results into clear business recommendations that improve customer and business outcomes.

Job responsibilities

  • Create, maintain, and evaluate present value calculations and related assumptions to assess acquisition quality and investment performance
  • Provide analytical support for deposit marketing initiatives, including campaign insights, recommendations, and strategic guidance
  • Contribute to portfolio investment optimization and business-facing quality assumptions that inform marketing investment decisions
  • Support finance processes by providing inputs to budgeting and forecasting, including return on investment and cost-benefit evaluations
  • Consult on experimental design and data collection, partnering with stakeholders and other Data & Analytics teams to develop and refine strategies
  • Interpret analytical results and present insights to stakeholders and senior management in a clear, concise, and actionable way
  • Participate in innovation efforts to advance analytical methods, while maintaining a strong controls environment to ensure accurate and timely results

Required qualifications, capabilities and skills

  • Bachelor's and Master's degree in a quantitative discipline (Data Science, Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related fields)
  • 3+ years of experience applying statistical methods to real-world problems
  • 3+ years of experience using SQL for data analysis
  • 3+ years of experience using R for analytics 
  • Experience supporting finance workstreams, including budgeting, forecasting, and return on investment or cost-benefit evaluations
  • Hands-on experience with A/B testing and incrementality testing, including experimental design, statistical significance evaluation, and translating results into business recommendations
  • Demonstrated experience using AI-assisted development tools (such as GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development
  • Experience with data visualization for analysis and presentation 
  • Strong written, verbal, and presentation skills, with experience communicating effectively across levels and partner groups

Preferred qualifications, capabilities and skills

  • 3+ years of applied experience using Python
  • Experience in marketing analytics, including customer acquisition and campaign measurement
  • Experience building data visualizations for analysis and presentations; Tableau preferred
  • Demonstrated ability to solve unstructured problems independently while maintaining strong stakeholder alignment
  • Strong strategic, organizational, and relationship-building skills to prioritize multiple initiatives and deliver on business goals on time

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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