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

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 ...

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 ...

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 ...

Data Scientist

Dunwoody, GA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

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 · On-site

$95.30 - $158.80/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 · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Epidemiologist Data Scientist

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Data Scientist

Atlanta, GA · Hybrid

  • Medical

  • Dental

  • Retirement

... data science, analytics, or a related role, with demonstrated delivery of analytical or ML projects * Proficiency in Python and/or R for data analysis and statistical modelling * Experience with ...

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 ...

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 ...

Data Scientist

Atlanta, GA · On-site

  • Medical

  • Dental

  • Retirement

... data science, analytics, or a related role, with demonstrated delivery of analytical or ML projects * Proficiency in Python and/or R for data analysis and statistical modelling * Experience with ...

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 Aug 19, 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.

What are the most commonly searched types of Data Science R jobs in Atlanta, GA?

The most popular types of Data Science R jobs in Atlanta, GA are:

What job categories do people searching Data Science R jobs in Atlanta, GA look for?

The top searched job categories for Data Science R jobs in Atlanta, GA are:

Infographic showing various Data Science R job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,032 per year, or $56.7 per hour.

Data Scientist

LexisNexis

Alpharetta, GA • On-site

Other

Posted 25 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

189th of 492 rated business services


Job description

Are you passionate about using data science to drive smarter risk decisions and create meaningful business impact?
Do you enjoy solving complex analytical challenges, working with large-scale data, and helping teams deliver innovative solutions in a collaborative environment?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle - all while reducing risk. You can learn more about LexisNexis Risk at the link below.
About our Team
We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine learning to join our diverse team of data scientists on the Auto Insurance Rating Analytics team. This individual will play a key role in new product innovation, model development, generating actionable insights, and working closely with the Vertical and Product teams to design and implement new solutions that are cutting edge and support the insurance market.
About the Role
A Senior Data Scientist I should be able to define the scope of a project with support of managers and execute that project independently. Individuals in this role can also support the development and training of junior staff. A Senior Data Scientist I should be self-sufficient in executing basic methods, and work within their teams to execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices.
Responsibilities:
  • Developing, analyzing, and modeling operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies
  • Analyzing organizational data to recommend solutions to new and complex problems, developing innovative strategies, quantifying the competitive performance of the organization's operations and/or markets; modeling and evaluating the potential impact of changes
  • Applying and integrating statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources
  • Functional Knowledge: Conceptual and practical expertise in own area required
  • Business Expertise: Has knowledge of best practices and how subject matter expertise integrates with others; is aware of the competition and the factors that differentiate the company in the market
  • Leadership: Occasionally leads the work of small project teams; provides informal guidance to junior staff
  • Problem Solving: Typically resolves problems using existing solutions
  • Impact: Works with minimal guidance
  • Interpersonal Skills: Explains difficult or sensitive information, models auto insurance risk, particularly in the context of credit-based data sources, generally using GLM techniques
  • Supports existing models
  • Python experience required
  • Cloud experience preferred
  • Develops, analyzes and models operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies
  • Analyzes organizational data to recommend solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets; models and evaluates the potential impact of changes
  • Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources

Requirements:
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative discipline (or equivalent years of experience); Master's/Ph.D. degree preferred. Actuarial experience/certification also preferred.
  • 3+ years demonstrated experience in data manipulation and various AI/ML methodologies, preferably in applications using credit data for insurance or financial services
  • Strong expertise in one or more of the following: R, Python, SQL, or equivalent analytic software
  • Experience manipulating and merging multiple large data sets in a distributed computing environment
  • Solid understanding of ML techniques, including hypothesis testing, sample design, model development (linear and non-linear models), validation of machine learning models
  • Strong programming skills in Python and/or R, with extensive experience with their standard data manipulation and ML packages (pandas, scikit-learn, NumPy, XGBoost, PyTorch in Python and rpart, party, caret in R) and/or Scala
  • Strong ability as a self-starter to learn new technologies (Pyspark, ECL, Azure/AWS ML Services) and to share cross-functional knowledge across the teams

Risk benefit statement
Learn more about the LexisNexis Risk team and how we work ;br>U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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