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Associate Data Scientist Jobs in Ohio (NOW HIRING)

JP Morgan Chase

Data Scientist Senior Associate

Columbus, OH · On-site

$57K - $57K/yr

As a Data Scientist Sr. Associate within the Consumer Bank Marketing Analytics team, you will develop and execute analytical plans to understand drivers of deposit portfolio growth, from account ...

Bread Financial

Lead Data Scientist

Columbus, OH · On-site +1

$138K - $272K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... New associate elected coverage begins on date of hire (with the exception of disability coverage ...

New

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

The Staff Data Scientist will typically work on 3-5 large projects concurrently that have ... With headquarters in Reading, PA, Penske and its associates are driven by a dedication to ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

The Staff Data Scientist will typically work on 3-5 large projects concurrently that have ... With headquarters in Reading, PA, Penske and its associates are driven by a dedication to ...

Munich Re

Data Scientist, AI

Amelia, OH · On-site

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Munich Re

Data Scientist, AI

Cleveland, OH · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Munich Re

Data Scientist, AI

Cincinnati, OH · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Munich Re

Data Scientist, AI

Akron, OH · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Munich Re

Data Scientist, AI

Amelia, OH · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Munich Re

Data Scientist, AI

Dayton, OH · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Munich Re

Data Scientist, AI

Columbus, OH · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Benchmark Gensuite

[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 ...

Benchmark Gensuite

[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 ...

Benchmark Gensuite

[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 ...

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All JobsAssociate Data Scientist JobsAssociate Data Scientist Jobs in Ohio

Associate Data Scientist information

See Ohio salary details

$54.7K

$64.7K

$122.6K

How much do associate data scientist jobs pay per year?

As of Jul 20, 2026, the average yearly pay for associate data scientist 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.

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

AspectAssociate Data ScientistData 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; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

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

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an Associate Data Scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an Associate Data Scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What Does an Associate Data Scientist Do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

More about Associate Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Ohio? The most popular types of Data Scientist jobs in Ohio are:
What are popular job titles related to Associate Data Scientist jobs in Ohio? For Associate Data Scientist jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Associate Data Scientist jobs in Ohio look for? The top searched job categories for Associate Data Scientist jobs in Ohio are:
What cities in Ohio are hiring for Associate Data Scientist jobs? Cities in Ohio with the most Associate Data Scientist job openings:
What are popular job titles related to Associate Data Scientist jobs in OH? For Associate Data Scientist jobs in OH, the most frequently searched job titles are:
Associate Data Scientist jobs near you
Infographic showing various Associate Data Scientist 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.
Data Scientist Senior Associate

Data Scientist Senior Associate

JPMorgan Chase & Co.

Columbus, OH • On-site

$57K - $57K/yr

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description


As a Data Scientist Sr. Associate within the Consumer Bank Marketing Analytics team, you will develop and execute analytical plans to understand drivers of deposit portfolio growth, from account opening to attrition. Your insights will be crucial in guiding strategic decisions and investments, impacting the broader organization.
Job responsibilities
  • Lead analytics strategy and execution for Consumer Bank new account performance reporting
  • Interpret results and present findings to stakeholders and senior management, including the CMO.
  • Conduct unstructured, ad hoc analyses of customer behavior and engagement
  • Execute A/B and incrementality test readouts, including interpretation and recommendations
  • Translate results into clear narratives and present insights to stakeholders and senior management
  • Contribute to innovation initiatives that advance analytics methods and scalability
  • Maintain a rigorous controls environment to ensure accurate, timely, and reproducible results
    Required qualifications, capabilities and skills
  • Bachelor'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 and incrementality testing methodologies, including experimental design, significance evaluation, and translating results into business recommendations
  • Experience with web analytics tools (e.g., Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.)
  • Strong written and verbal communication and presentation skills, with experience communicating effectively across levels and partner groups

Preferred 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)
  • 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 preferred.

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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