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Internship Data Science R Jobs (NOW HIRING)

Description Internship Overview You won't be running coffee orders or shuffling paperwork this ... As a Data Scientist Intern, you'll join Fervo's Data Science team to help build models and analyses ...

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... the internship. * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

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$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... the internship. * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... the internship. * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... the internship. * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... the internship. * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

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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 Sep 10, 2026, the average hourly pay for internship data science r in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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 types of projects can I expect to work on during an internship data science 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 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.

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 cities are hiring for Internship Data Science R jobs?

Cities with the most Internship Data Science R job openings:

What are the most commonly searched types of Data Science R jobs?

The most popular types of Data Science R jobs are:

What states have the most Internship Data Science R jobs?

States with the most job openings for Internship Data Science R jobs include:

2027 Summer Internship - Data Science & Analytics

Atlanta, GA • On-site

Home Depot
Retail • 10K+ employees

Full-time

Posted 11 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,511 frontline employees who took The Breakroom Quiz


Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Internship Overview
The Home Depot's Summer Internship program offers college students an opportunity to develop leadership skills and gain hands on experience in a corporate environment. During an 11 - week period from May 17 - July 30, 2027, interns will be assigned to a functional team such as Supply Chain, Marketing, e-commerce, Technology, Finance, Operations, Merchandising, Pro, Home Services, Human Resources, etc. Interns will learn more about our retail business and our corporate offices while having the opportunity to work on a pre-assigned project that impacts the function they are supporting. Additionally, interns participate in networking and development activities that set them up for success as they build their careers.
What makes a Great Intern:
  • Action Oriented: Intern takes on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm

  • Manages Ambiguity: Intern effectively navigates and thrives in uncertain situations while using sound judgment to make decisions without having the full picture. Is able to move work forward without all the details

  • Collaboration: Intern contributes to the group's efforts and steps forward to help as needed. Seeks input from others

  • Nimble Learning: Intern actively learns through experimentation when tackling new problems, using both successes and failures as learning fodder

  • Communication: Intern develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audience

  • Customer Focus: Intern builds strong customer relationships and delivers customer-centric solutions

  • Drives Results: Evaluates information to make logical decisions and achieve results despite potential challenges or setbacks.

Data Science & Analytics Internship:
The Data Science and Analytics Intern Program offers talented college students the opportunity to develop their advanced data science skills while supporting the Company's strategic objectives. Intern candidates are assigned to a project aligned to business areas such as Services, e-Commerce, Merchandising, Operations or Finance. The Home Depot's internship program was recently named in the Top 20 in the US and offers college students an opportunity to develop leadership skills and gain hands on experience working with a number of leaders on projects that directly impact the business for one of the world's leading retailers. Data Science interns will focus on working with a variety of data science roles and functions to translate business questions into actionable insights and deliver high quality analytical solutions.
Tasks, responsibilities, and key accountabilities include:
Business Collaboration
  • Participate in meetings across the enterprise data science community, gaining exposure to cross functional business units.

  • Build networking relationships and receive mentoring from team members and top-level management

Communicating Results
  • Communicate findings and project status clearly and professionally through presentations

  • Provide recommendations to upper management.

  • Provide comprehensive report-out to senior leaders on assignments and other related projects

Data Analytics
  • Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create high quality analytics solutions

  • Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python

Preferred Qualifications
  • Working knowledge of Microsoft Office Suite

  • Working knowledge of Tableau

  • Working knowledge of presentation software (e.g., Microsoft PowerPoint)

  • Excellent academic performance

  • Experience in a modern scripting language (preferably Python)

  • Experience running queries against data (preferably with Google BigQuery or SQL)

  • Experience with data visualization software (preferably Tableau)

  • Exposure to statistics, predictive modeling and other data science methodologies

  • Preferred GPA 3.0 or above

Description of Roles: (Career paths that utilize this skillset full-time) :
At The Home Depot, our associates always have room to move up and explore new opportunities. After the Internship, here are some examples of early career roles for interns with a background in Data Science:
  • Data Science Analyst

  • Associate Data Scientist

  • Data Scientist

  • Data Analyst

Location: Interns will be expected to work in-person at the Atlanta Corporate Office (Store Support Center) five days a week (Monday-Friday). Housing assistance will be provided to eligible interns.

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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