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Google Internship Data Science Jobs (NOW HIRING)

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

Required Skills and Experience : * 3-5+ years of experience (relevant academic internships and ... Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation ...

Athena LLC

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

Google

Data Scientist

San Bruno, CA · On-site

Bachelor's degree in Statistics, Applied Mathematics, Data Science, Business Analytics, Economics ... Learn more about benefits at Google . Position reports to the Google San Bruno, CA office & may ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Experience with AWS, Azure, Google Cloud, or hybrid cloud environments. * Understanding of data ... Bachelors or Masters 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 Jul 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 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 types of projects do Data Science interns 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 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 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.

More about Google Internship Data Science jobs
What cities are hiring for Google Internship Data Science jobs? Cities with the most Google Internship Data Science job openings:
What states have the most Google Internship Data Science jobs? States with the most job openings for Google Internship Data Science jobs include:
What job categories do people searching Google Internship Data Science jobs look for? The top searched job categories for Google Internship Data Science jobs are:
Google Internship Data Science jobs near you
Infographic showing various Google Internship Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Product Data Scientist, Google Play, DSA

Product Data Scientist, Google Play, DSA

Google

Mountain View, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Google rating

8.8

Company rating: 8.8 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

39th of 205 rated software companies

Job description

Job Summary:
Google is a leading technology company, and they are seeking a Product Data Scientist for Google Play. This role involves working on data science projects to drive product decisions, collaborating with cross-functional teams to analyze user behavior, and delivering insights to enhance user experiences.
Responsibilities:
• Work across Cross-platform Games, Developer Success, and Games Ecosystem to further our understanding of the Games business and the Loyalty Program at Play.
• Partner with Games Data Science and Product Strategy team members, Play Games, Product Management, Engineering, Product Marketing Manager, UX and other teams to understand user behavior, design/analyze experiments and drive product insights to improve user experiences.
• Deliver effective presentations of findings and recommendations to multiple levels of leadership, shaping Play's investment in Games.
• Passion for gaming and knowledge of gaming industry.
• Perform statistical analyses in R/Python, data extraction using SQL, and build pipelines and dashboards using business intelligence platform tools.
Qualifications:
Required:
• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree.
• Passion for gaming and knowledge of gaming industry.
• Perform statistical analyses in R/Python, data extraction using SQL, and build pipelines and dashboards using business intelligence platform tools.
Preferred:
• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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