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Google Internship Data Science Jobs (NOW HIRING)

Mars Technominds Inc

Data Science Architect

Mckinney, TX · On-site

$59 - $76/hr

Architect cloud-based data science solutions using AWS, Azure, or Google Cloud Platform (Google Cloud Platform). * Work with technologies such as Python, SQL, Spark, Databricks, MLflow, TensorFlow ...

Google

Data Scientist

San Bruno, CA · On-site

Master's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics ... Learn more about benefits at Google . Position reports to the Google San Bruno, CA office & may ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Experience with AWS, Azure, Google Cloud, or hybrid cloud environments. * Understanding of data ... Bachelor's or Master's degree in Data Science, Computer Science, Data Engineering, Mathematics ...

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

As of Sep 9, 2026, the average hourly pay for google internship data science 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 a Google internship in data science?

A Google Internship in Data Science is a temporary, paid position where students or recent graduates work with Google's data science teams. Interns are involved in analyzing large datasets, building machine learning models, and providing insights to improve Google products and services. The internship offers hands-on experience, mentorship, and exposure to real-world data science challenges in a leading tech company. Applicants typically need strong analytical skills, proficiency in programming languages like Python or R, and a background in statistics or computer science.

What types of projects does a data science intern typically work on during a Google internship?

Data Science interns at Google often collaborate on high-impact projects alongside full-time data scientists and engineers. Projects may include analyzing large datasets to identify trends, building machine learning models, or developing data-driven solutions for products and services. Interns are encouraged to contribute ideas, participate in code reviews, and present findings to their teams. This hands-on experience allows interns to gain exposure to Google's tools and methodologies, while also building a strong foundation for future roles in data science.

What are the key skills and qualifications needed to thrive as a Google data science intern, and why are they important?

To thrive as a Google Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, typically supported by current enrollment in a relevant degree program. Familiarity with tools like SQL, TensorFlow, and data visualization platforms is commonly expected, along with experience in machine learning frameworks. Strong problem-solving abilities, effective communication, and collaboration skills help interns contribute meaningfully to cross-functional teams. These skills are essential to analyze complex datasets, deliver actionable insights, and succeed in Google's fast-paced, innovative environment.

What is the difference between Google Internship Data Science vs Google Data Analyst Internship?

AspectGoogle Internship Data ScienceGoogle Data Analyst Internship
Required SkillsProgramming (Python, R), statistics, machine learning, data modelingData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborative, research-focused, technical projectsBusiness-oriented, reporting, data interpretation
Industry UsageResearch, product development, machine learning modelsBusiness insights, performance metrics, reporting

Google Internship Data Science roles focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Google Data Analyst Internships emphasize data interpretation, reporting, and visualization for business decisions. Both roles are valuable within Google's data ecosystem but serve different functions based on technical depth and business application.

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

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For Google Internship Data Science jobs, the most frequently searched job titles are:

Google Internship Data Science jobs near you
Infographic showing various Google Internship Data Science job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

2027 Summer Internship - Data Science & Analytics

Atlanta, GA • On-site

Home Depot
Retail • 10K+ employees
Learn more about Home Depotexternal

Full-time

Posted 9 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,505 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

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.

What Home Depot employees say

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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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