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R Rstudio Jobs (NOW HIRING)

CEDENT

R Programmer

Washington, DC · Remote

Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio Connect via CI/CD. * Design, develop, test, and support R programs to execute modeling application ...

Cedent

R Programmer (Washington, DC)

Washington, DC · On-site

Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio Connect via CI/CD. * Design, develop, test, and support R programs to execute modeling application ...

CEDENT

R Programmer (Washington, DC)

Washington, DC · Remote

Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio Connect via CI/CD. Design, develop, test, and support R programs to execute modeling application ...

Huntington

Lead Data Scientist

Chicago, IL · On-site +1

$83K - $170K/yr

... R, RSTudio, Python, SAS, SQL, NoSL Preferred Qualifications: PhD in computer science, statistics, economics or related fields Up-to-date knowledge of machine learning and data analytics tools and ...

New

Huntington

Senior Data Scientist - AI

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 ...

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., AWS Sagemaker) Strong experience with machine learning environments (e.g., TensorFlow, scikit ...

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R Rstudio information

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$37.5K

$122.7K

$196.5K

How much do r rstudio jobs pay per year?

As of Jul 8, 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.

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.

What are the key skills and qualifications needed to thrive as an R/RStudio Data Analyst, and why are they important?

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.
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 July 2026, with employment types broken down into 65% Full Time, 14% Part Time, and 21% Contract. Highlights an 72% In-person, 7% Hybrid, and 21% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
R Programmer

R Programmer

CEDENT

Washington, DC • Remote

Contractor

Re-posted 20 days ago

Job description


Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for  research community and supporting Analytics application migration to Cloud and bring in key transformational changes to how we deploy Analytics Tools using cloud native architecture.
Duties & Responsibilities:
  • Assess, design, and build workflows to integrate solutions for scalable, reliable, and automated “R” analytics data science products on AWS.
  • Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio Connect via CI/CD.
  • Design, develop, test, and support R programs to execute modeling application systems via distributed computing on AWS
  • Support business applications in deploying models into the cloud with containerization technologies such as Docker and Kubernetes
  • Support the team in the writing of deployment scripts and place a strong emphasis on automated deployment, infrastructure automation solutions, and continuous delivery processes
  • Leverage Analytics Data Platform tools (RStudio on Domino/Sagemaker, RStudio Connect), AWS services to build workflows that will support deployment of analytics applications developed in R
  • Participate in an on-call rotation for critical outages and issues
  • Strong hands-on working experience with Shell Scripting (Bash, Csh, Ksh)
  • Effective communication and technical skills
  • Develop & maintain technical documentation including system diagrams & operational procedures

Required qualifications:
  • 5+ years overall experience in IT related experience including software development, Data Scientists & DevOps functions.
  • 3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies
  • 2+ years of experience with AWS services supporting data science and analytics (EC2, S3, RDS, Lambda, Sagemaker, Glue)
  • 2+ years of relevant working experience in an analytical role involving data extraction, analysis, and communication of findings
  • 2+ years of experience in building and maintaining CI/CD tooling (Jenkins, Bitbucket Pipelines, GitHub).
  • Experienced in Data Exploration packages with Base R
  • Experienced in using deep learning frameworks such as TensorFlow, Pytorch, etc.
  • Ability to effectively communicate technical solutions to engineering teams and business audiences

Key Competencies:
  • Knowledgeable in the AWS Well Architected Framework
  • Strong analytical, organizational, problem-solving, and time-management skills
  • Strong communication (verbal and written) and listening skills.
  • Strong teamwork, planning, and coordination skills
  • Self-motivation, adaptability, and the ability to meet aggressive deadlines.
  • Ability to independently research and resolve technical problems in a complex IT environment with local and remote groups.
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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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