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Amazon Data Science Internship Jobs (NOW HIRING)

Rackner

Computer Science Internship

College Park, MD · On-site

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Amazon

Sr. SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

We're a small, fast-moving global team of engineers, data scientists, and solutions architects spanning the US and Europe with a startup-within-Amazon mentality. We ship fast, experiment boldly, and ...

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Amazon

Sr. SysDev Eng, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

We're a small, fast-moving global team of engineers, data scientists, and solutions architects spanning the US and Europe with a startup-within-Amazon mentality We ship fast, experiment boldly, and ...

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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.
More about Amazon Data Science Internship jobs
What cities are hiring for Amazon Data Science Internship jobs? Cities with the most Amazon Data Science Internship job openings:
What are the most commonly searched types of Amazon Data Science jobs? The most popular types of Amazon Data Science jobs are:
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What job categories do people searching Amazon Data Science Internship jobs look for? The top searched job categories for Amazon Data Science Internship jobs are:
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.
Data Scientist III, Rapid & Rural Logistics (R2L) Science & AI

Data Scientist III, Rapid & Rural Logistics (R2L) Science & AI

Amazon

Bellevue, WA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

New

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

The R2L team is responsible for building the next generation supply chain for Amazon's world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes!
R2L Science & AI team sits under R2L and is a central team for all Data Science/AI related asks. We are looking for an experienced and curious data scientist with effective superior analytical skills to inform the data science charter of the team.
Key job responsibilities
We are looking for an experienced and curious data scientist with effective superior analytical skills to inform the data science charter of the team

This position is critical in helping us learn more about our data and finding opportunities to delight customers with data driven insights and machine learning models. The Data Science and Analytics team owns data science, data engineering, and business intelligence. You will be supporting multiple business and technical stakeholders with high velocity analytics.
This role is uniquely positioned in the team as we have a growing need for looking around corners, prioritizing opportunities using data driven insights, and finding solutions to these opportunities using different machine learning techniques and causal inference models.
You will be diving deep in our data and have a strong bias for action to quickly produce high quality data analyses with clear findings and recommendations

As part of our journey to learn about our data, some opportunities may be a dead end and you will be balancing unknowns with delivering results for our customers.
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you. At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children

Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2.

Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
Learn more about our benefits here: https://amazon.jobs/en/internal/benefits/us-benefits-and-stock

What Amazon employees say

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Benefits

Hours and flexibility

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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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