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R Rstudio Jobs (NOW HIRING)

Huntington

Data Scientist: III (Senior)

Columbus, OH · On-site +1

... R/RStudio, Python, SAS, SQL, NoSQL Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) Strong experience with machine learning environments (e.g., TensorFlow, scikit ...

Rutgers University

Post Doctoral Associate

New Brunswick, NJ · On-site

$63K - $65K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Strong quantitative and analytic skills with proficiency in R/Rstudio or other statistical software; * Ability to publish in peer-reviewed journals, with at least one first-author publication.

Huntington

Data Scientist: III (Senior)

Columbus, OH · On-site +1

Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) * Strong experience with machine learning environments (e ...

Provost & Pritchard

Soil Scientist

Visalia, CA · On-site

Experience with tools such as GIS, R/RStudio, Python, remote sensing, data analysis and visualization, and related AI tools. * Familiarity with irrigation, evapotranspiration, nutrient management ...

Sidram Technologies

Data Scientist - w2

Columbus, OH · On-site

Experience with R, RStudio, Python, SAS, SQL, NoSQL Preferred Qualifications: * Up-to-date knowledge of machine learning and data analytics tools and techniques * Knowledge in predictive modeling ...

Risk Strategies

Senior Actuarial Consultant

$199K - $300K/yr

Experience with SQL, R (R, RStudio). Python or Machine learning (is a plus) Brown & Brown, Inc. (NYSE: BRO) is a leading insurance brokerage firm delivering comprehensive and customized insurance ...

Risk Strategies

Senior Actuarial Consultant

$199K - $300K/yr

Experience with SQL, R (R, RStudio). Python or Machine learning (is a plus) Brown & Brown, Inc. (NYSE: BRO) is a leading insurance brokerage firm delivering comprehensive and customized insurance ...

Huntington

Data Scientist: III (Senior)

Columbus, OH · On-site

$110 - $160/hr

Strong experience with R/RStudio, Python, SAS, SQL, NoSQL* Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)* Strong experience with machine learning environments (e.g ...

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R Rstudio information

See salary details

$37.5K

$122.7K

$196.5K

How much do r rstudio jobs pay per year?

As of Aug 19, 2026, the average yearly pay for r rstudio in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is R RStudio?

RStudio is an integrated development environment (IDE) for R, a programming language primarily used for statistical computing and data analysis. RStudio provides a user-friendly interface for writing R code, visualizing data, and managing projects. It includes helpful features like syntax highlighting, debugging tools, and integration with version control, making it easier for users to work efficiently with R. Many data scientists, statisticians, and researchers use RStudio to streamline their data analysis workflows.

What are the key skills and qualifications needed to thrive as an R/RStudio data analyst?

To thrive as an R/RStudio Data Analyst, you need strong statistical analysis skills, proficiency in R programming, and a solid background in mathematics or data science. Familiarity with the RStudio IDE, data visualization packages (like ggplot2), and version control systems such as Git are commonly required. Analytical thinking, attention to detail, and effective communication help analysts interpret data and convey insights to stakeholders. These skills are essential for accurately analyzing complex datasets and making data-driven recommendations that support business or research objectives.

How does an R/RStudio professional typically collaborate with data scientists and other departments within an organization?

R/RStudio professionals often work closely with data scientists, analysts, and business stakeholders to translate data-driven insights into actionable recommendations. Collaboration may involve jointly developing statistical models, cleaning and visualizing data, and automating reports using R scripts and RMarkdown. Regular communication with cross-functional teams is important to ensure that analyses align with organizational goals and that technical findings are effectively communicated to non-technical audiences. This collaborative environment encourages continuous learning, knowledge sharing, and the ability to adapt to evolving project requirements.

What is the difference between R Rstudio vs Data Analyst?

AspectR RstudioData Analyst
Required SkillsProficiency in R programming, data visualization, statistical analysisData manipulation, basic statistical knowledge, Excel, SQL
Work EnvironmentData science teams, research labs, analytics departmentsBusiness settings, marketing, finance, healthcare
CertificationsR programming certifications, data science coursesBusiness analytics certifications, Excel, SQL courses

R Rstudio is a specialized tool used primarily for statistical analysis and data visualization within data science teams. Data Analysts often use R Rstudio as part of their toolkit but also rely on other tools like Excel and SQL. While R Rstudio focuses on programming and advanced analytics, Data Analysts perform broader data interpretation tasks in various business environments.

More about R Rstudio jobs

What job categories do people searching R Rstudio jobs look for?

The top searched job categories for R Rstudio jobs are:

R Rstudio jobs near you
Infographic showing various R Rstudio job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 5% Part Time, 8% Contract, and 1% Summer. Highlights an 72% Physical, 6% Hybrid, and 22% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist: III (Senior)

Huntington Bancshares, Inc.

Columbus, OH • On-site

$120 - $180/hr

Other

Posted 3 days ago

New

Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 170 frontline employees who took The Breakroom Quiz

65th of 171 rated banks

Job description

Description

Summary:

The Senior Data Scientist contributes to building and developing the organization’s data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.

Duties and Responsibilities:

  • Performs advanced analytics methods to extract value from business data.
  • Performs large-scale experimentation and build data-driven models to answer business questions.
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
  • Determines requirements that will be used to train and evolve deep learning models and algorithms.
  • Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.
  • Influences product teams through presentation of data-based recommendations.
  • Evangelizes best practices to analytics and products teams.
  • Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.
  • Performs other duties as assigned.

Basic Qualifications:

  • Master’s Degree in computer science, statistics, economics or related fields
  • 3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.

Preferred Qualifications:

  • Up-to-date knowledge of machine learning and data analytics tools and techniques
  • Strong knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Demonstrated ability to communicate complex results to technical and non-technical audiences
  • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
  • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
  • Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
  • Financial Services background

Exempt Status: Yes (not eligible for overtime pay)

Workplace Type: Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

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