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Amazon Data Science Internship Jobs (NOW HIRING)

Amazon

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

... Science, PM-T, and Design across multiple AI native advertising products This is a startup team ... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ...

Amazon

Data Engineer, Amazon Ads

Seattle, WA · On-site

$130K - $156K/yr

... Science, PM-T, and Design across multiple AI native advertising products This is a startup team ... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ...

State Farm

Data Scientist

Tempe, AZ

This area provides data science support for internal business partners at State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

State Farm

Data Scientist

Dunwoody, GA

This area provides data science support for internal business partners at State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

State Farm

Data Scientist

Richardson, TX

This area provides data science support for internal business partners at State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

State Farm

Data Scientist

Bloomington, IL · On-site

This area provides data science support for internal business partners at State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

State Farm

Data Scientist

Bloomington, IL · On-site

This area provides data science support for internal business partners at State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

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Amazon Data Science Internship information

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$12

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$42

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

As of Jul 19, 2026, the average hourly pay for amazon data science internship 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.

How much does Amazon pay to interns?

Amazon Data Science Interns typically receive a competitive hourly wage, which can range from $20 to $40 per hour depending on location and experience. Internships usually last 12 to 16 weeks and may include benefits such as housing stipends or transportation allowances in some locations.

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

To thrive as an Amazon Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, often supported by progress toward a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, AWS, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and present findings to both technical and non-technical stakeholders. These abilities are crucial for delivering actionable insights and contributing to impactful projects in Amazon's fast-paced, data-driven environment.

What is an Amazon Data Science Internship?

An Amazon Data Science Internship is a temporary position for students or recent graduates to work with Amazon’s data science teams. Interns apply statistical analysis, machine learning, and data engineering skills to solve real-world business problems. The internship provides hands-on experience with large datasets and exposure to Amazon’s tools, technologies, and culture. Interns also have opportunities to collaborate with experienced data scientists and contribute to impactful projects. This experience can help launch a career in data science, especially in the tech industry.

Does Amazon have data science internships?

Yes, Amazon offers data science internships for students and recent graduates, typically lasting 12 weeks during the summer. These internships provide hands-on experience with large-scale data analysis, machine learning, and cloud tools like AWS, and often require strong programming skills in Python or R.

What types of projects do interns typically work on during an Amazon Data Science Internship?

As an Amazon Data Science intern, you can expect to work on real-world projects that directly impact business decisions. Common projects include developing predictive models, performing exploratory data analysis, and collaborating with software engineers to implement machine learning solutions. Interns often partner with cross-functional teams, such as product managers and business analysts, to translate data insights into actionable recommendations. This hands-on experience helps interns build technical and communication skills while gaining exposure to Amazon's fast-paced, data-driven environment.

How much do Amazon data science interns make?

Amazon data science interns typically earn between $30 and $40 per hour, depending on experience and location. Interns often work full-time during the summer and may receive additional benefits such as stipends or housing support.

Is it hard to get an internship at Amazon?

Securing an Amazon Data Science Internship is competitive due to high applicant volume and rigorous selection processes. Candidates typically need strong academic backgrounds, relevant technical skills such as machine learning and data analysis, and demonstrated problem-solving abilities. The application process often includes multiple interviews and technical assessments.
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Amazon Data Science Internship jobs near you
Infographic showing various Amazon Data Science Internship job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Senior Applied Scientist, Amazon Leo Data Science Platform

Senior Applied Scientist, Amazon Leo Data Science Platform

Amazon

Redmond, WA

Full-time

Posted 29 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,974 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.
The Role
As a Senior Applied Scientist in Project Leo, you'll be leading us in making critical and time sensitive decisions that impact customers

You'll use your machine learning expertise to build solutions that can scale and solve the business problem, and your engineering experience to build systems that take those solutions to production; it's an exciting opportunity to apply data science to help improve fraud detection accuracy, inference, and customer experience monitoring activity. It's fast paced, data driven, and impactful.
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S

permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
The position requires hands-on expertise in Analytics to identify and isolate issues, Statistical Modeling and traditional Machine Learning, the ability to write queries to aid in data extraction, and the ability to productionalize models. This role is a self sufficient scientist that can source data, build and evaluate models, and ultimately take those models and rules to deployment

You should have excellent communication skills and be able to work with stakeholders at all levels. Above all you should be a passionate, hard-working and creative person who loves creating business impact, loves solving difficult problems and doesn't mind getting involved in the details.
A day in the life
As part of the Amazon Leo Data Science Platform team, you will collaborate with a diverse group of internal stakeholders, including fraud operations, Engineering teams, and the Data Platform, to identify and address fraud vulnerabilities. You will have the opportunity to develop rules and ML models to prevent Customer Terminal (CT) usage fraud and abuse

Your role will also allow you to leverage your customer-obsession skills by thoughtfully considering the user experience and ensuring it is not adversely affected by the mechanisms you design. If you are passionate about working with large-scale data, we offer ample opportunities to do so.
About the team
The Amazon Leo Data Science Platform team builds services to ingest, transform, and aggregate data from various devices in Leo Network, and auto detect, diagnose, and resolve issues. We use ML technology to monitor customer experience and prevent fraud and abuse

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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