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Data Science R Jobs in Atlanta, GA (NOW HIRING)

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. * Strong proficiency in Python and/or R. * Experience with SQL and database ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... R, Python, SQL, or equivalent analytic software * Experience manipulating and merging multiple ...

Research and propose cutting-edge data science techniques and methodologies to improve existing ... Proficient in Python, R, SQL, and common machine learning frameworks (e.g., TensorFlow, Scikit ...

D. is a plus. * 5 to 10 years of experience in data science, including machine learning and statistical analysis. Proficiency in data analysis tools and programming languages such as Python, R, or ...

Our data science teams also embrace staying current with the evolving data science landscape ... SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ...

Data Scientist

Atlanta, GA ยท On-site +1

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Have deep proficiency in Python (preferred) and/or R, with experience using modern data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow. * Be highly proficient in SQL ...

... data science, machine learning, and statistical analysis * Proficiency in Python, R, or Julia ... Strong understanding of machine learning algorithms and their applications * Experience with SQL ...

Data Scientist

Alpharetta, GA ยท On-site

$125 - $150/hr

R115426Are you passionate about using data science to drive smarter risk decisions and create ... R, Python, SQL, or equivalent analytic software* Experience manipulating and merging multiple large ...

This is an exciting opportunity togrow inyour career in data science and analytics within a ... Proficientexperiencewithanalytical and programming languages and packages, such as Python, R, and ...

Data Scientist

Atlanta, GA ยท On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's or Ph.D. preferred). * Programming Skills : Proficiency in Python or R. * Data Tools : Experience with ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience in R, Python (including libraries such as Pandas, NumPy, Scikit-learn), and SQL ...

Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable * Great communication skills * Experience with data ...

Showing results 21-40

Data Science R information

See Atlanta, GA salary details

$36.1K

$118K

$189K

How much do data science r jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data science r in Atlanta, GA is $118,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.
Infographic showing various Data Science R job openings in Atlanta, GA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,032 per year, or $56.7 per hour.

Data Scientist

Johns Creek, GA โ€ข On-site

Contractor

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Job description

Job Title: Data Scientist
Location: Johns Creek GA (Hybrid) .
 

Job Summary

We are seeking a highly analytical and motivated Data Scientist to join our team. The ideal candidate will leverage statistical analysis, machine learning, and data mining techniques to derive actionable insights from complex datasets. The candidate will work closely with business stakeholders, data engineers, and product teams to develop predictive models, optimize business processes, and support data-driven decision-making.

Key Responsibilities
  • Analyze large, complex datasets to identify trends, patterns, and business opportunities.
  • Develop, validate, and deploy machine learning and statistical models.
  • Design and implement predictive and prescriptive analytics solutions.
  • Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
  • Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
  • Create dashboards, visualizations, and reports to communicate findings effectively.
  • Monitor model performance and continuously improve model accuracy and efficiency.
  • Conduct A/B testing and hypothesis testing to support business initiatives.
  • Work with structured and unstructured data from multiple sources.
  • Stay updated on emerging data science, AI, and machine learning technologies and best practices.
Required Skills & Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Strong proficiency in Python and/or R.
  • Experience with SQL and database technologies.
  • Hands-on experience with machine learning libraries such as Scikit-Learn, TensorFlow, PyTorch, or XGBoost.
  • Strong understanding of statistics, probability, and predictive modeling.
  • Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
  • Knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Experience with big data technologies such as Spark, Hadoop, or Databricks is a plus.
  • Excellent problem-solving, communication, and stakeholder management skills.
Preferred Qualifications
  • Experience in healthcare, life sciences, finance, retail, or relevant industry domains.
  • Knowledge of Generative AI, LLMs, NLP, and MLOps frameworks.
  • Experience deploying machine learning models in production environments.
  • Familiarity with Git, CI/CD pipelines, Docker, and Kubernetes.