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R Programming Jobs in Georgia (NOW HIRING)

The ideal candidate will have strong expertise in data science, including proficiency in Python, SQL, and R programming languages, as well as experience with big data ecosystems, cloud computing, and ...

Python/R: Programming skills in Python or R for data analysis. * Machine Learning: Understanding of machine learning algorithms and their application. * Project Management: Experience in managing ...

... R programming for clinical trial analyses, data manipulation, reporting and visualization preferred Familiarity with additional programming languages and tools such as Python preferred Hands-on ...

R/D Product Engineer Shielding Technology Department: Tooling Department Functional Area: R/D Classification : Non-Exempt Exempt Reporting Structure: Tooling Director Educational Background Required:

Data Science Tutor

Athens, GA ยท Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Augusta, GA ยท Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Atlanta, GA ยท Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Marietta, GA ยท Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Duluth, GA ยท Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Roswell, GA ยท Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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R Programming information

See Georgia salary details

$67.6K

$104.7K

$127.5K

How much do r programming jobs pay per year?

As of Jun 23, 2026, the average yearly pay for r programming in Georgia is $104,703.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $117,800.00 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 Georgia? The most popular types of R Programming jobs in Georgia are:
Infographic showing various R Programming job openings in Georgia as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $104,703 per year, or $50.3 per hour.

Data Scientist

Prophecy Technologies

Atlanta, GA โ€ข On-site

Full-time

Posted 12 days ago


Job description

Job Summary:
We are seeking an experienced Data Scientist to join our team. The ideal candidate will have strong expertise in data science, including proficiency in Python, SQL, and R programming languages, as well as experience with big data ecosystems, cloud computing, and machine learning techniques.
Key Responsibilities:
  • Design and implement predictive models and machine learning algorithms to solve business problems.
  • Perform feature selection using techniques such as PCA, Lasso, and Elastic Net.
  • Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM.
  • Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions.
  • Create interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib.
  • Communicate insights through compelling data storytelling for diverse stakeholders.
  • Collaborate with cross-functional teams to integrate data solutions into business processes.

Required Technical Skills:
  • Python programming language.
  • SQL programming language.
  • R programming language.
  • Skywise Palantir.
  • Domo.
  • SAS.
  • Web development languages.
  • Cloud platforms (AWS, Azure).
  • Big data ecosystems (Hadoop).

Required Qualifications:
  • 8+ years of experience in data science.
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.

Preferred Qualifications:
  • Experience with advanced analytics and big data tools.
  • Familiarity with NLP, deep learning frameworks, and modern visualization libraries.
  • Strong problem-solving and communication skills.