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Data Scientist R Remote Jobs in Columbus, OH (NOW HIRING)

Qnity

Senior Data Scientist

Delaware, OH · On-site

For experienced data science candidates, this is an exciting opportunity to join a growing team ... The applicant should have fluent coding skills in R or Python with the ability to prepare data for ...

Sidram Technologies

Data Scientist - w2

Columbus, OH · On-site

Data Scientist Contract to Hire Location - Columbus, OH Summary: Our banking client is seeking a ... Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics ...

Deloitte

Data Scientist

Columbus, OH · On-site

... R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms ... As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ...

Huntington

Senior Data Scientist

Columbus, OH · On-site

$70K - $140K/yr

Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Senior Data Scientist

Columbus, OH

$70K - $140K/yr

Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Munich Re

Data Scientist, AI

Columbus, OH · On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

New

Huntington

Senior Data Scientist

Columbus, OH · On-site +1

... R/RStudio, Python, SAS, SQL, NoSQL Strong experience with Cloud Machine Learning technologies (e.g ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Senior Data Scientist

Columbus, OH · On-site +1

Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

MCKESSON

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Proficiency (4+ years) in Python (required) and experience with R * Advanced (4+ years) SQL and ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

... R/RStudio, Python, SAS, SQL, NoSQL Strong experience with Cloud Machine Learning technologies (e.g ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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All JobsData Scientist R Remote JobsData Scientist R Remote Jobs in Columbus, OH

Data Scientist R Remote information

See Columbus, OH salary details

$36.2K

$118.6K

$189.8K

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

As of Jun 19, 2026, the average yearly pay for data scientist r remote 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 Data Scientist R Remote jobs?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

How does a remote Data Scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

What are the key skills and qualifications needed to thrive as a Data Scientist (R, Remote), and why are they important?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

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

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in Columbus, OH? For Data Scientist R Remote jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Columbus, OH look for? The top searched job categories for Data Scientist R Remote jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Data Scientist R Remote jobs? Cities near Columbus, OH with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you
Data Scientist

Data Scientist

Indotronix International Corporation

Columbus, OH • On-site

Full-time

Posted 18 days ago

Job description

Data Scientist | Columbus, Ohio, United States Job Summary: Senior Data Scientist - Enterprise Analytics (Banking) Location: Columbus, OH (Remote flexibility) | Job Type: C2C About the Role Join a high-performing Enterprise Analytics team at a leading banking institution as a Senior Data Scientist. Fuel organizational growth through advanced analytics, data-driven insights, and opportunity discovery. Collaborate with cross-functional teams-including Product, Marketing, Data, Finance, and senior leadership-to optimize customer experience, drive business value, and influence strategic decisions.

This is a highly visible role where you will leverage your technical expertise and communication skills to shape business outcomes in a fast-paced, innovative environment. Responsibilities - Design and implement advanced analytics and machine learning models to extract actionable insights from complex business data. - Conduct large-scale experimentation and build data-driven models to answer strategic business questions.

- Research and apply emerging techniques in machine learning, deep learning, and artificial intelligence. - Collaborate with business segments to identify opportunities for optimization and customer value delivery. - Translate analytical findings into intuitive data visualizations and persuasive presentations for stakeholders and senior leadership.

- Partner with Agile teams throughout the project lifecycle, from ideation to delivery, on high-impact, enterprise-wide projects. - Stay current on new technologies and tools to continuously improve analytics capabilities and solutions. - Perform additional analytics duties as assigned to support organizational goals.

Required Skills and Experience - Proficiency in Python and SQL for data analysis, modeling, and pipeline development. - Strong analytical and statistical expertise, comfortable working with predictive models and large datasets. - Experience communicating technical findings to business partners and non-technical audiences.

- Master's degree (or completed by Spring 2025) in Computer Science, Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a related STEM field; OR Bachelor's degree with 3+ years' experience in analytics or data science. - Hands-on experience with R, RStudio, SAS, and advanced statistical software. Preferred Skills - Knowledge of machine learning methodologies, predictive modeling, and Bayesian inference.

- Experience with big data tools, both structured and unstructured data sources, and scalable data pipelines. - Familiarity with cloud ML technologies (e.g., AWS SageMaker), machine learning environments (e.g., TensorFlow, scikit-learn, caret), and web scraping. - Background in financial services or consumer-centric organizations.

- Experience with data visualization tools (Tableau, Adobe Analytics/Target). Benefits - Work alongside a talented, collaborative, and centralized team of data science professionals. - Influence strategic decisions and drive growth at an enterprise level.

- Exposure to cutting-edge analytics tools, technologies, and methodologies. - Fast-paced, dynamic environment with significant opportunities for learning and professional advancement. - Impactful projects with visibility to senior leadership and cross-functional partners.

How to Apply If you are passionate about leveraging data to drive business value and ready to make a significant impact, we want to hear from you. Submit your resume highlighting your analytics, modeling, and communication skills. Candidates must be authorized to work without sponsorship.

Background check and drug screen required.

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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