1

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

In lieu of a Master's degree, a Bachelor's degree with a minimum of 3 years of work experience in analytics or data science is acceptable. Technical Skills: Experience with R, RStudio, Python, SAS ...

Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL) * Financial Services background #LI-NG1#LI-Onsite Exempt ...

... one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL) Financial Services background #LI-NG1 #LI-Onsite Exempt Status: (Yes = not eligible for ...

Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL) * Financial Services background #LI-NG1#LI-Onsite Exempt ...

Proficiency in one or more programming languages, including Python (preferred) or R, Spark, and other modern data science tools. Working knowledge of Large Language Models (Llama, Claude, Titan ...

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108.80K - $181.30K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or ... Proficiency (4+ years) in Python (required) and experience with R * Advanced (4+ years) SQL and ...

Master's or doctoral degree in quantitative science, social science, or a related discipline ... Advanced proficiency with statistical software applications, e.g., SPSS, SAS, R, demonstrated ...

next page

Showing results 1-20

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:
Principal Data Scientist- Mortgage Sales & Strategy Analytics

Principal Data Scientist- Mortgage Sales & Strategy Analytics

Citizens

Columbus, OH • Hybrid

$157K - $197K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description

Citizens' Enterprise Data & Analytics (ED&A) organization is seeking an experienced Data Scientist to provide analytics leadership related to Mortgage sales and strategy with a focus on proactively retaining existing customers and acquiring new customers via application of data/programming/models/analytics to support sales outreach and optimization. Initial focus is on driving growth through the Enterprise Smart Leads operation that centralizes sales lead generation with a coordinated approach to customer outreach. The Mortgage Sales & Strategy Principal Data Scientist will be responsible for generating, distributing, assessing and optimizing data-driven sales leads provided to virtual and retail Mortgage Loan Officers to enable proactive customer outreach.  Skills required include a range of analytical functions (computer and statistical programming, data management, data exploration/visualization, feature engineering, statistical analysis) and business functions (stakeholder engagement and communication, strategy development, analyzing/presenting results, process improvement).

The optimal candidate will possess strong programming, analytical, and communication skills, and demonstrate ability to provide analytics leadership with business stakeholders and work well in a team environment.  As the Principal Data Scientist, you will work independently as the primary point of contact for Mortgage business partners as well as working within the broader Enterprise Smart Leads team at the direction of a Data Science Manager.  This person will develop expertise on all Mortgage sales-related data; develop, execute, and maintain programs to generate customized, data-driven Mortgage-focused leads; develop/implement/present analyses aimed at optimizing performance; and lead reporting and communications with management regarding performance and strategy.  Given the focus, knowledge of the home lending area and experience with home lending data is a plus, but is not required.  Experience in the financial services industry is preferred.

Smart Leads operates as an Agile team within the Enterprise Data and Analytics organization, working closely with other teams involved in various customer communications. 

In this role, you will:

  • Conduct customer segmentation analyses and scoping to support Mortgage lead strategy development, assessment and revision. 
  • Apply advanced analytics to engineer customized, data driven, timely sales leads focused on Mortgage retention and acquisition 
  • Apply advanced analytics to continually optimize lead distribution across Virtual/Retail loan officers.
  • Apply advanced analytics to maximize production via provision of an optimal number and mix of leads across channels.
  • Apply advanced analytics to develop and optimize lead scoring/prioritization within an overall sales lead strategy framework.
  • Undertake Mortgage lead program investigation and evaluation on an ongoing basis.  Prepare performance updates and special analyses.
  • Regularly engage with Mortgage business partners to remain tightly aligned on shifting business strategies and discuss application of data and analytics to Mortgage strategy and sales.
  • Oversee ongoing execution and generation of data driven Mortgage sales leads.
  • Maintain and improve processes/programs for generating and delivering sales leads and other related information flows 
  • Manage and analyze call disposition data to optimize lead selection and assess performance 
  • Document and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structure
  • Develop and implement experimental designs to meet business objectives
  • Continuously innovate through exploration of new techniques, platforms and data sources
  • Automate various standard procedures including data flows, monitoring, & quality control 

Technical Qualifications

  • Master's (or beyond) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Data Science/Analytics, Economics, Finance or related fields
  • Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, Python, SAS, R, etc.)
  • Strong written and verbal communication skills required with an ability to communicate analytic results, business insights and resulting business implications to non-technical business partners
  • Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology 
  • Ability to lead productive engagements with business partners from an analytic perspective
  • 4-7 years of experience in Analytics particularly with Financial Services applications

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on site, 1 day remote

Pay Transparency

The salary range for this position is $157,000 - $197,000 per year, plus an opportunity to earn additional incentive earnings. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

 

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Equal Employment and Opportunity Employer

Job Applicant Data Privacy Policy

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.