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

NiSource, Inc.

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 ...

Huntington

Senior Data Scientist

Columbus, OH · On-site

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 ...

Huntington

Senior Data Scientist

Columbus, OH · On-site

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

Genesis10

Data Scientist: III (Senior)

Columbus, OH

$55 - $62.50/hr

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 ...

Purple Drive Technologies

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 ...

Databricks

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 ...

L Brands, Inc.

Sr. Data Analytics Analyst

Columbus, OH · On-site

$83.10K - $104.80K/yr

Responsibilities: * Partner with multi-functional teams across Digital, Data Science, Data ... Proficient in SQL and experience with Python or R * Experience with working in cloud environments

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How much do data science r jobs pay per year?

As of May 29, 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.
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Data Science R jobs near you
Data and Analytics - Business Insurance Data Science Executive Director

Data and Analytics - Business Insurance Data Science Executive Director

JP Morgan Chase

Columbus, OH

Full-time

Medical, Retirement

Posted 7 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

45th of 141 rated banks

Job description

Join the team that will build and lead a high-performing team of analytics leaders, data scientists, and analysts to shape the strategic direction of JPMorgan Chase insurance agency business ensuring AI is not an afterthought but the foundation upon which the business is built. 

As a Business Insurance Data Science Executive Director, within Data and Analytics Team, you will define the analytics and AI vision for a business being built from zero to one and partner closely with Insurance, Product, Distribution, and Technology leaders to architect AI-native capabilities that inform how we enter markets, design products, acquire and serve customers, and grow agency relationships. 

Job Responsibilities:

  • Define and execute the end-to-end analytics and AI strategy for the Business Insurance division, establishing the foundational data infrastructure, team structure, and analytical roadmap from inception with an AI-first orientation and architect AI-native solutions across the insurance value chain-ensuring that market entry strategy, agency distribution, product development, pricing, customer acquisition, and retention are powered by intelligent, data-driven systems from the outset. 
  • Partner with Insurance, Product, Marketing, and Technology leaders to translate business questions into analytical and AI-driven frameworks, delivering insights and automated capabilities that directly inform GTM decisions, product launches, and growth strategies. 
  • Design and deploy AI and machine learning models that support agency performance management, customer segmentation, cross-sell and upsell optimization, lifetime value estimation, and real-time decisioning. 
  • Identify and implement generative AI, agentic AI, and automation opportunities across the business-including intelligent document processing, conversational interfaces, content generation, and AI-assisted workflows for agents and customers. 
  • Design and implement measurement frameworks and experimentation programs (A/B testing, causal inference) to evaluate product-market fit, marketing effectiveness, and AI model performance. 
  • Develop competitive intelligence capabilities, leveraging internal and external data to benchmark performance, identify market white space, and inform strategic planning. 
  • Lead analytics and AI for customer experience, identifying friction points, optimizing digital and agent-assisted journeys through intelligent personalization, and delivering actionable recommendations to improve satisfaction and conversion. 

Required Qualifications, Capabilities, and Skills:

  • Master's or PhD in a quantitative field; 10+ years of analytics and AI experience 
  • Experience building and scaling analytics/AI teams from the ground up, including managing managers 
  • Deep expertise in machine learning, predictive modeling, experimentation, and statistical inference 
  • Track record of translating AI capabilities into measurable business outcomes 
  • Strong executive communication skills and ability to influence senior leadership 
  • Experience operating across product, marketing, distribution, and finance functions simultaneously 
  • Proficiency in Python and/or R, SQL, and cloud-based platforms (Snowflake, Databricks, or equivalent) 

Preferred Qualifications, Capabilities, and Skills:

  • Insurance, insurtech, or adjacent industry experience (lending, payments, wealth management) and building a business or function from zero to one in a greenfield environment 
  • Hands-on experience deploying generative AI, LLMs, RAG, or agentic AI into production and designing AI-first operating models and embedding AI into core business processes 
  • Knowledge of responsible AI, model governance, and insurance regulatory considerations and impacting AI adoption through change management and organizational enablement 
  • Familiarity with Agile delivery and modern product development practices 

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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