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

DPDHL

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

Remote/U.S.-based position with up to 50% travel required to support startup implementations and ... Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with ...

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

The ideal candidate will work closely with Digital SRE engineers, data scientists, DevOps, and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

The Scotts Miracle Gro Company

Data Steward

Marysville, OH · On-site +1

$87K - $103K/yr

Bachelor's Degree, Information Management, Computer Science, or related field * Desired: Certified ... For remote roles where the final candidate resides in Alaska, California, Colorado, Illinois, New ...

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All JobsData Scientist R 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 Aug 8, 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 is a data scientist R remote?

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?

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
Infographic showing various Data Scientist R Remote job openings in Columbus, OH as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $118,553 per year, or $57 per hour.

Sr Business Data Analyst

DPDHL

Westerville, OH • On-site, Remote

$70K - $115K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 25 days ago

Job description

Remote/U.S.-based position with up to 50% travel required to support startup implementations and site launches.


The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000.

For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000.

DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase General Bonus Plan and a generous PTO policy.


Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking, build impactful visualizations, and support operational excellence. This is your opportunity to grow your skills, collaborate with warehouse leaders, and become a go-to resource for data tools and insights. If you're curious, analytical, and ready to lead, this role is for you.


Job Description

As a Senior Business Data Analyst, you will support warehouse operations by transforming data into actionable insights that improve performance and efficiency. You'll collaborate with site leadership and key stakeholders to build dashboards, implement standard tools, and support data-driven decision-making. In addition to core analytics work, you'll have the opportunity to lead projects across multiple sites, support site startups, and act as a point of contact for analytics community initiatives.

  • Develop and maintain Power BI reports to support operational and strategic decisions
  • Full development of Power BI including data visualization and back-end data model design
  • Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements
  • Implement and maintain standard reporting tools for the site or sector
  • Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs
  • Serve as a point of contact for Power BI-related questions and analytics community initiatives
  • Lead knowledge-sharing sessions to promote data literacy and tool adoption
  • Manage analytics projects independently and across multiple sites
  • Design and implement data pipelines (ETL) from structured, semi-structured, and unstructured sources
  • Apply Python, R, or other analytics tools to enhance reporting and automation
  • Stay current with modern data analytics trends and apply best practices to improve processes
  • Support site startups as needed by implementing analytics tools and reporting frameworks


Required Experience

  • Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 3+ years of experience in data analytics, business intelligence, or a related field, required
  • Extensive experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, required
  • Proficiency in Power BI, including building dashboards and reports from scratch, required
  • Proficiency in writing DAX expressions to automate and enhance Power BI reports, required
  • Experience designing and managing data pipelines and working with diverse data sources, required
  • Strong understanding of statistical concepts, data modeling techniques, and modern analytics trends, required
  • Excellent communication and presentation skills, with the ability to translate data into actionable insights, required
  • Ability to work independently, manage multiple priorities, and lead cross-functional projects, required
  • Must be able to work fully onsite if role based out of a warehouse, required


Our Organization is an equal opportunity employer.

Employment Type: FULL_TIME

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