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

His/her responsibility will be to define data science standards, uncover areas in which data ... Knowledge of programming languages (R, PHP, Python) * Able to build a sense of trust and rapport ...

Data Scientist Intern - Fall 2026 This internship offers students the opportunity to work with the data science team on complex sports modeling and pricing problems, contributing to model development ...

Required Skills * 12+ years of experience in Data Science, Machine Learning, and Analytics * Strong proficiency in Python, SQL, R, and statistical modeling * Experience with Machine Learning, Deep ...

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 ...

AI and Data Science Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ...

AI and Data Science Engineer III

Atlanta, GA

$110K - $132K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

... R for statistical modeling and data wrangling. • 4+ years of hands-on experience with data ... science and AI/ML). • Experience working with workforce, HR, or human capital data (e.g ...

Data Scientist Intern - Fall 2026 This internship offers students the opportunity to work with the data science team on complex sports modeling and pricing problems, contributing to model development ...

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 ...

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 ...

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 ...

Coding skills in R, SQL, ECL are a plus. * Good foundation in actuarial science, including ... Data Skills * Independently prepares, cleans, and transforms data for analysis and modeling.

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, 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 Jun 16, 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.
Sr. Data Scientist

Full-time

Posted 14 days ago


Job description

Company Description

STEMtech has a client in the Atlanta area looking for an Sr. Data Scientist who will have the opportunity to build and manage a team of Data Scientists who will have an instrumental role in achieving the organizations goals. His/her responsibility will be to define data science standards, uncover areas in which data science can drive business value, and provide guidance to the team of data scientists on how to best apply data science techniques. In addition, he/she will be responsible for applying advanced statistical analysis tools and techniques to explain operating behaviors, understand complex relationships between known and unknown drivers of performance, and build algorithms using advanced descriptive and prescriptive methods. Lastly, he/she will also inform on needed tools and capabilities to industrialize insights into day-to-day ways of working that drive real tangible operational enhancements.

Job Description
  • Collaborates with translators and understands business problems to implement scalable and sustainable solutions

  • Coordinates with SMEs, translators, IT and data engineers to deliver holistic analytical solutions

  • Designs, creates, tests and implements complex models and algorithms that drive analytical solutions throughout the organization

  • Translate or interpret findings for non-analytical or statistically adept colleagues

  • Write reports articulating the analytics insights and their business impacts

  • Conduct and led meetings and workshops to explain findings

  • Supports Translators in communicating the design, functioning and output of the analytical models/solutions developed

  • Manage and direct data science team to accomplish technical goals and develop data insights

  • Provides guidance and supervision to Data Scientists on data science best practices and Novelis data science standards

Qualifications
  • 12+ years of experience in IT or a business function, 5 or more of which is specific to data science

  • Master's degree or other advanced degree in information technology, computer science, data science, or related quantitative discipline (e.g. advanced statistical analysis)

  • Experience leading a team of data scientists with responsibility for hiring, coaching, and developing direct staff

  • Experience with object oriented design, coding and testing, engineering software platforms

  • Proficiency in aggregation of large data sets, statistical analysis tools

  • Expert knowledge of data modeling and understanding of different data structures

  • Understanding of advanced applied mathematics in AA, artificial intelligence and array operations

  • Comfort in using SQL Server, PostgreSQL/ MySQL, and R

  • Knowledge of programming languages (R, PHP, Python)

  • Able to build a sense of trust and rapport that creates a comfortable & effective workplace

  • Experience in industrial industry applications or process industries (chemicals, energy, petroleum refining, mining) preferred

Additional Information

All your information will be kept confidential according to EEO guidelines.