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Data Science R Jobs in Columbus, OH (NOW HIRING)

Bachelor's degree in quantitative science, social science, or a related discipline * Proficiency ... Basic proficiency with commonly used statistical software applications (e.g., SPSS, SAS, R)

Manager Data and Analytics

Columbus, OH · On-site

$133.40K - $200.10K/yr

... science, data analysis, business analysis * 3+ years of experience utilizing SQL or other data extraction language as well as 1 other programing language (Python, R, Java, etc.) * 2+ years of ...

Master's Degree in computer science, statistics, economics or related fields 3+ years of work and ... R/RStudio, Python, SAS, SQL, NoSQL Strong experience with Cloud Machine Learning technologies (e.g ...

Master's degree in computer science, statistics, economics or related fields * 1-3 years' work and ... Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine ...

Lead AI-ML Engineer

Westerville, OH · On-site

$98.80K - $130.10K/yr

... data science, AI, or ML engineering. • Strong proficiency in Python, R, or Scala with experience using data science libraries (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow). • Solid ...

Solutions Architect, Retail - CPG

Columbus, OH · On-site

$60.75 - $80.25/hr

... data science solutions • Maintain and extend production data systems to evolve with complex customer needs • Production programming experience in Python, R, Scala or Java Preferred : • Nice to ...

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Data Science R information

See Columbus, OH salary details

$36.2K

$118.6K

$189.8K

How much do data science r jobs pay per year?

As of May 31, 2026, the average yearly pay for data science r in Columbus, OH is $118,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,400.00 per year, depending on experience, location, and employer.

What is a Data Science R job?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What are the typical daily tasks for a Data Science R professional in most organizations?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.
What are the most commonly searched types of Data Science R jobs in Columbus, OH? The most popular types of Data Science R jobs in Columbus, OH are:
What are popular job titles related to Data Science R jobs in Columbus, OH? For Data Science R jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Data Science R jobs in Columbus, OH look for? The top searched job categories for Data Science R jobs in Columbus, OH are:
Data Science Senior Associate - Consumer Bank Marketing Analytics

Data Science Senior Associate - Consumer Bank Marketing Analytics

JP Morgan Chase

Columbus, OH

Full-time

Medical, Retirement

Posted 19 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Join a talented and diverse group of analysts driving strategy and innovation across Chase Consumer Bank using data-driven approaches. You will help shape how we measure impact, learn quickly, and optimize investment by translating complex data into clear, actionable insights.

As a Data Science Senior Associate at JPMorganChase within Consumer Bank Marketing Analytics, you will own measurement and testing for Chase First Banking marketing campaigns. You will partner closely with stakeholders to design experiments, evaluate performance, and deliver recommendations that strengthen long-term customer relationships and improve retention-while contributing to an inclusive and collaborative team culture.

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 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

  • 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
  • Master's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)

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 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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