1

R Programming Jobs in Columbus, OH (NOW HIRING)

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote ... Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques.

Experience you'll need to have: * 6+ years of experience in data science or machine learning using programming languages such as Python or R to build and deploy models in production environments ...

... Technology, Engineering or Math field. Must be at least 18 years of age. Minimum 5 years of coatings formulation and performance testing. Minimum of 3 years of project leadership/management ...

Lead AI-ML Engineer

Westerville, OH ยท On-site

$99K - $130K/yr

... engineering. โ€ข Strong proficiency in Python ... R, or Scala with experience using data science libraries (e.g., NumPy, Pandas, Scikit-learn ...

Site Reliability Engineer (SRE) - II

Columbus, OH ยท On-site +1

$53.50 - $71.25/hr

We are seeking a Digital Site Reliability Engineer (Digital SRE) to strengthen the reliability, security, and operational readiness of in-house and vendor-hosted digital applications. This role ...

Software Engineer

Columbus, OH ยท On-site

$110K - $183K/yr

CoverMyMeds is seeking a Software Engineer to support backend-heavy development for systems that automate prior authorization workflows and EHR integrations. This role focuses on building scalable ...

Familiarity with programming languages such as Python, Java, or .NET * Experience with cloud data ... R.E. C ommitted - We build strong, high-trust relationships with our partners and each other. A ...

Familiarity with programming languages such as Python, Java, or .NET * Experience with cloud data ... R.E. C ommitted - We build strong, high-trust relationships with our partners and each other. A ...

next page

Showing results 1-20

R Programming information

See Columbus, OH salary details

$77.3K

$119.8K

$145.8K

How much do r programming jobs pay per year?

As of Jun 23, 2026, the average yearly pay for r programming in Columbus, OH is $119,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,100.00 and $134,700.00 per year, depending on experience, location, and employer.

What is R programming?

R programming is an open-source language and environment primarily used for statistical computing, data analysis, and graphical representation of data. It is widely used by statisticians, data analysts, and researchers for tasks like data manipulation, statistical modeling, and creating visualizations. R has a rich ecosystem of packages and libraries that make it highly flexible for various data science applications. Its ability to handle large datasets and integrate with other programming languages makes it a popular choice in academia and industry. Additionally, R is supported by an active community, which continuously contributes new tools and resources.

Is R still used in 2026?

R programming remains widely used in data analysis, statistics, and research roles in 2026. It is valued for its extensive package ecosystem and capabilities for data visualization and statistical modeling, making it a relevant skill for data scientists and analysts. Proficiency in R continues to be beneficial for jobs requiring data manipulation and analysis.

What jobs can you get with R programming?

R programming skills are valuable for roles such as data analyst, data scientist, statistical programmer, and research analyst. These jobs typically involve data analysis, statistical modeling, and visualization, often requiring knowledge of data manipulation packages like dplyr and ggplot2, and sometimes familiarity with machine learning tools.

What types of projects do R Programming professionals typically work on within a team environment?

R Programming professionals often collaborate on projects involving data analysis, statistical modeling, and visualization. They usually work closely with data scientists, analysts, and subject matter experts to clean datasets, build predictive models, and generate insightful reports. The role requires effective communication to translate technical findings into actionable recommendations for non-technical stakeholders. Additionally, R programmers may participate in code reviews, contribute to package development, and help automate data pipelines, fostering a collaborative and learning-oriented work environment.

Is R programming in demand?

R programming is in demand in data analysis, statistics, and data science roles, especially in industries like healthcare, finance, and research. Professionals skilled in R, along with data visualization and statistical modeling, are sought after as organizations increasingly rely on data-driven decision making.

What is the difference between R Programming vs Data Analyst?

AspectR ProgrammingData Analyst
Required skillsStatistical analysis, coding in R, data visualizationData manipulation, reporting, basic statistical skills
Work environmentData science teams, research labs, analytics departmentsBusiness, finance, marketing, healthcare sectors
Tools usedR, RStudio, packages like ggplot2, dplyrExcel, SQL, Tableau, R (sometimes)

R Programming is a specialized skill focusing on statistical computing and data visualization, often used by data scientists and statisticians. Data Analysts utilize a broader set of tools and skills to interpret data for business insights. While R Programming is essential for advanced analysis, Data Analysts often combine R with other tools to deliver reports and dashboards.

What are the key skills and qualifications needed to thrive as an R Programmer, and why are they important?

To thrive as an R Programmer, you need strong proficiency in R programming, data analysis, and statistical modeling, often supported by a background in statistics, mathematics, or computer science. Familiarity with tools such as RStudio, version control systems like Git, and relevant packages (e.g., dplyr, ggplot2) is highly valued, along with certifications in data science or analytics. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data analysis, efficient workflow, and clear communication of results to technical and non-technical stakeholders.

What jobs pay $10,000 a month without a degree?

In R programming, high-paying freelance or consulting roles such as data analyst, data scientist, or statistical consultant can earn $10,000 or more per month, especially with strong skills in data analysis, statistical modeling, and programming. These positions often require a solid portfolio, experience, and proficiency with tools like R, but may not require a formal degree if demonstrated expertise is established.
What are the most commonly searched types of R Programming jobs in Columbus, OH? The most popular types of R Programming jobs in Columbus, OH are:
Infographic showing various R Programming job openings in Columbus, OH as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $119,771 per year, or $57.6 per hour.
Data Engineer/Analyst

Data Engineer/Analyst

iSpace, Inc

Raymond, OH โ€ข On-site

$57/hr

Other

Posted 24 days ago


Job description

***** IT'S A W2 CONTRACT ROLE, NO C2C/1099 *****

Title: Data Analyst / Engineer

Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote)

Contract Duration: 14+ months

Rate: $57/hr on W2

What will this person be working on

In this role, person will be responsible for conducting data analysis to support decision-making processes within the organization. The ideal candidate will have a strong analytical mindset, excellent communication skills, and the ability to work collaboratively with cross-functional teams.

TOP SKILLS

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven 3-5 years of experience in a Data Analyst role.
  • Strong proficiency in AWS services (S3, Redshift, Lambda, etc.).
  • Excellent analytical and problem-solving skills.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong SQL skills and familiarity with database management.
  • Ability to lead and manage tasks and activities effectively.
  • Excellent communication and collaboration skills.
  • Ability to work both independently and collaboratively in a team-oriented environment.
  • Preferred Qualifications:
  • Experience with machine learning and AI tools.
  • Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques.
  • Knowledge of data warehousing concepts and ETL processes.