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Remote 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 ...

This role will be dedicated to AI Automation value streams and will lead data science initiatives ... Proficiency in programming languages including Python (preferred) or R, and Spark. Working ...

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 ...

Master's Degree in computer science, statistics, economics or related fields 3+ years of work and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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 ...

Manager Data and Analytics

Columbus, OH · On-site

$133.40K - $200.10K/yr

Oversees activities related to an internal data and analytics portfolio (may include data science ... R, Java, etc.) * 2+ years of experience leading analytics developers or similar roles Preferred ...

Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate ... Bachelor's degree in Computer Science, Information Technology, or a related field. * Proven 3-5 ...

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 ...

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Remote Data Science R information

See Columbus, OH salary details

$36.2K

$118.6K

$189.8K

How much do remote data science r jobs pay per year?

As of May 30, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are popular job titles related to Remote Data Science R jobs in Columbus, OH? For Remote Data Science R jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Data Science R jobs in Columbus, OH look for? The top searched job categories for Remote Data Science R jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Data Science R jobs? Cities near Columbus, OH with the most Remote Data Science R job openings:
Data Science Manager- Credit Card Pricing & Profitability

Data Science Manager- Credit Card Pricing & Profitability

Citizens

Columbus, OH • Hybrid

$180K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Description

Description

The Data Science Manger for Profitability Modeling will leverage a strong background in business economics, Statistics, and technology development to deliver models that forecast business performance based on customer data, macro factors and treatment effects for all consumer lending products.  The successful candidate will be intellectually curious, and delivery focused, aligning priorities across multiple stakeholders to mathematically model causal relationships that are explainable to business leaders and allow for differentiated decision making across the consumer lending organization.

Primary Responsibilities

  • Perform or lead the performance of exploratory data analysis to understand relationships and opportunities to influence outcomes, while being able to quickly iterate common feature transformation and model types to find the best predictive models
  • Develop and document proofs of concept to verify your ideas, including counterfactual explanations for interpretability
  • Work closely with Line of Business to make sure that the proposed solution is performing as it should and is correctly understood
  • Support model validation and model back testing
  • Identify opportunities to apply the latest advancements in pricing theory and ML/AI modeling to build, test, and validate predictive models
  • Leverage expertise in both statistical modeling and business financial analysis to move past association and identify causal relationships
  • Actively mentor Data Scientists and Junior Data Scientists on good software practices
  • Develop and embed automated processes for predictive model validation, deployment, and implementation
  • Develop Pricing modeling pipelines and actively contribute high-quality, production-ready code
  • Support ad-hoc requests from the line of business by understanding, communicating, and managing model risks
  • Create and follow written risk and compliance policies, standards, and procedures for business activities

Qualifications

Required Skills/Experience

  • 6+ years of industry experience leading the design, development, and deployment of pricing models
  • Experience being the technical lead for multiple project teams simultaneously
  • Previous experience mentoring, training, and developing junior members of the team; experience in employee performance reviews
  • Expert understanding of Python and other common languages and the ability to develop and maintain a flexible code base 
  • Require experience building classic regression and ML models for Credit Cards
  • Extensive experience in financial modeling, loss forecasting, utilization, P&L and Cash flow analysis
  • Experience with cloud-based ecosystems, including managing on demand compute resources
  • Experience in an Agile working environment and related project management tools 
  • Experience with version control practices and tools (Git, etc.)
  • Excellent written and verbal communication skills

Education

  • Master's Degree or higher in Statistics/Mathematics/Economics

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 $180,000- $220,000 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the 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 .

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

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.

Education:Why Work for UsEmployment Type: 1ST