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R Programmer Jobs in Georgia (NOW HIRING)

Prophecy Technologies

Data Scientist

Atlanta, GA · On-site

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 ...

SHIELDTEC LLC

R & D Product Engineer

Buford, GA · On-site

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

Club Car LLC

Senior Powertrain Engineer

Evans, GA · On-site

$88K - $121K/yr

Drive diligence and collaboration in requirements, risk analysis, DFMEA, DVP&R, engineering change notice and specifications. * Employ project management methodologies that ensure a predictable ...

United IT Solutions

BI Architect

Atlanta, GA

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 ...

ABB

Lead Sales Engineer

Alpharetta, GA · On-site

$100K - $131K/yr

Grow sales of B&R's complete product range in the territory by working on new and existing sales ... Bachelors degree in Engineering (Mechatronics, Mechanical, Electrical or similar) or equivalent ...

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R Programmer information

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$67.6K

$104.7K

$127.5K

How much do r programmer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for r programmer 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 Does an R Programmer Do?

An R programmer works with a unique computer language called R to perform duties such as statistical computing and data collection and analysis with the goal of optimization for a business. As an R programmer, you can use this language, which is open source, to create graphical representations or simulations of data as well as conduct analysis of that data. Other job duties include designing statistical models, formulating procedures, and providing technical assistance for clients. In this role, you can use your computer code knowledge to develop tools for a variety of different fields, from machine learning to statistical analysis for businesses to data mining for technology companies.

What are some common challenges R Programmers face when collaborating on data analysis projects within a team?

R Programmers often work closely with data scientists, analysts, and other programmers, which can present challenges such as ensuring code reproducibility, maintaining clean documentation, and managing version control. It's important to write clear, well-commented scripts and use tools like Git to facilitate collaboration. Additionally, integrating R code with other technologies or platforms may require extra coordination with team members who specialize in different languages or systems. Addressing these challenges can lead to smoother workflows and more reliable project outcomes.

What is the difference between R Programmer vs Data Analyst?

AspectR ProgrammerData Analyst
Required SkillsProficiency in R, statistical analysis, data visualizationData manipulation, basic statistical skills, Excel, SQL
CertificationsOften no formal certification, but R programming courses preferredCertifications like CAP, Microsoft Excel certifications common
Work EnvironmentData science teams, research labs, tech companiesBusiness, marketing, finance departments across industries
Industry UsageTech, healthcare, research institutionsFinance, retail, healthcare, consulting

While both R Programmers and Data Analysts work with data, R Programmers focus more on coding in R for statistical analysis and visualization, often in research or data science teams. Data Analysts typically handle data manipulation and reporting in business contexts, using a broader set of tools. The roles overlap in data skills but differ in technical depth and application focus.

What are R Programmers?

R Programmers are professionals who use the R programming language to analyze data, create statistical models, and develop data-driven solutions. They often work in fields like data science, research, finance, and healthcare, leveraging R's extensive libraries for data manipulation, visualization, and statistical analysis. R Programmers may also build custom tools and automate data workflows to help organizations make informed decisions. Their expertise in R makes them valuable for tasks involving large datasets, predictive modeling, and reporting.

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 programming skills in R, a solid understanding of statistics, and typically a degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries like dplyr and ggplot2, experience with version control systems such as Git, and knowledge of databases are commonly required. Attention to detail, problem-solving abilities, and effective communication help R Programmers stand out when working with diverse data sets and collaborating with teams. These skills are essential for accurately analyzing data, developing robust solutions, and supporting data-driven decision making.
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R Programmer jobs near you

Data Scientist

Prophecy Technologies

Atlanta, GA • On-site

Full-time

Posted 3 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.

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