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

Kaizen Analytix LLC

VP of Data Science

Atlanta, GA · On-site

Original Post Date: 4/3/2026 VP of Data Science Kaizen Analytix LLC, an analytics products and ... Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB * Highly proficient in all Microsoft Office ...

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

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 ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

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 ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

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 ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

... 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 ...

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Partner in development of scalable solutions using large datasets with other data scientists on the ...

CRH

Data Scientist

Atlanta, GA · Hybrid

... 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 ...

4P Consulting Inc.

Data Scientist 1

Atlanta, GA

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 ...

STEMtech

Data Scientist

Atlanta, GA

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 ...

STEMtech

Data Scientist

Atlanta, GA · On-site

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 ...

FIS

Data Scientist I, FIS University Program

Atlanta, GA · On-site

Works closely with Data Science, Product, and client-facing teams to apply analytics to real-world ... Internship or academic project experience involving data analysis or modeling. * Exposure to tools ...

CRH

Data Scientist

Atlanta, GA · On-site

... 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 ...

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Internship Data Science R information

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How much do internship data science r jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for internship data science r in Atlanta, GA is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.56 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science Internship at R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What is an Internship Data Science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What are the key skills and qualifications needed to thrive as an Internship Data Science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.
Internship Data Science R jobs near you
VP of Data Science

VP of Data Science

Kaizen Analytix LLC

Atlanta, GA • On-site

Full-time

Posted 27 days ago

Job description

Original Post Date: 4/3/2026
VP of Data Science
Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking qualified candidates for a VP of Data Science. Responsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.
Responsibilities:
Coordinate multiple client analytics engagements - consisting of both custom and packaged analytics solutions by...
  • Overseeing core delivery teams of Kaizen and non-Kaizen (clients, third parties) resources that possess business, technology, and data science skill sets
  • Guiding project workstream leaders
  • Solving business problems through excellent decision-making and innovative, strategic ideas
  • Implementing solutions in either client or Kaizen environments

Capabilities for Success:
Candidate should demonstrate an ability to...
  • Understand business context of analytics solution: Current state, problem, goals/objectives and their business value, obstacles, and impacted client constituents
  • Coordinate teams of analysts/data scientists/software engineers in performing and implementing high quality, sophisticated analysis in support of client engagements and internal projects
  • Provide thought leadership and guidance for multi-variable, complex statistical analysis and mathematical programming algorithms like linear programming, MIP, discrete optimization etc.
  • Present high-level insights to client teams (project leadership to executive-level) and Kaizen leadership
  • Facilitate and foster interaction between client and Kaizen teams
  • Supervise contributions to the KA proprietary solution library - KaizenValueAccelerators (KVAs) and suggest new capabilities in terms of mathematical models, solution frameworks, etc.
  • Provide internal Kaizen teams with thought leadership for brainstorming, developing, delivering, and testing service-oriented software or subscription offerings for targeted clients / industry verticals
  • Continously enhance working knowledge of new models and solution techniques which could be leveraged across projects, look for cross-industry applicability
  • Efficiently coordinate delivery team and client leadership (both business and technical domains) through ambiguity of business process, organization change, and detailed requirements
  • Provide industry-specific thought leadership for defining modeling and measurement techniques and utilizing mathematics, statistical methods, engineering methods, operational mathematical techniques to estimate benefits from using analytical models
  • Support sales and business development activities for both existing and new clients
  • Participate in group leadership, provide leadership for a part of the overall group including all administrative tasks required
  • Contribute to Kaizen's knowledge capital by writing articles and presenting at industry conferences

Job Requirements:
  • Education and Experience
  • Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 7 years of relevant professional experience, OR
  • Master's degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 9 years of relevant professional experience
  • Expertise in three or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
  • Excellent written and verbal communication and presentation skills
  • Thorough understanding of all and a minimum of 5 years of expert level experience in four or more of the following: Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB
  • Highly proficient in all Microsoft Office applications
  • Ability to structure and analyze large data sets
  • Thorough understanding of Data Visualization tools (Tableau and Power BI preferred)
  • Through understanding of Agile project management methodology
  • Ability to travel as dictated by business needs

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