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Amazon Data Science Internship Jobs in Austin, TX

Amazon

Software Dev Engineer II - AMZ27491.1

Austin, TX · On-site

$143K - $194K/yr

Amazon Data Services, Inc. Position: Software Dev Engineer II - AMZ27491.1 Location: Austin, TX ... equivalent in Computer Science, Engineering, Mathematics, or a related field and one year of ...

Amazon

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a Systems Development ... You'll work alongside senior engineers, data scientists, and data engineers - learning business ...

Amazon

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a Systems Development ... You'll work alongside senior engineers, data scientists, and data engineers - learning business ...

Amazon

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a Systems Development ... Science, Engineering, a related technical field or equivalent - 3+ years of non-internship ...

NXP Semiconductors

Data Scientist

Austin, TX · On-site

$128K/yr

Master's degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. Programming language in C++, Python, and SQL 2. ...

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

As of Sep 4, 2026, the average hourly pay for amazon data science internship in Austin, TX is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

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.

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.

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.

How hard is it to get into an Amazon Data Science Internship?

Getting into an Amazon Data Science Internship is competitive, often requiring strong academic performance, relevant technical skills in programming and statistics, and prior experience with data analysis or machine learning. Candidates typically need to demonstrate proficiency in tools like Python or R and have a solid understanding of data-driven problem solving.

What are the most commonly searched types of Amazon Data Science jobs in Austin, TX?

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For Amazon Data Science Internship jobs in Austin, TX, the most frequently searched job titles are:

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Amazon Data Science Internship jobs near you
Infographic showing various Amazon Data Science Internship job openings in Austin, TX as of August 2026, with employment types broken down into 22% Internship, 58% Full Time, 14% Part Time, 2% Temporary, 2% Contract, and 2% Summer. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $46,398 per year, or $22.3 per hour.

Software Development Engineer, Measurement, Ad Tech, and Data Science

Amazon

Austin, TX

$113K - $136K/yr

Full-time

Re-posted 19 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,147 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

Build new experiences that help hundreds of thousands of advertisers get the most from their campaigns - creating intelligent systems that make independent decisions in real-time, scale at high volume, and interact with customers through rich interfaces. This is AI-first engineering on the tools advertisers use daily to manage their advertising strategies on Amazon.
The Measurement and Data Science (MADS) Reporting User Experience team owns the software that hundreds of thousands of advertisers use to manage their advertising strategies across Amazon Ads. These tools are also a fast-evolving fabric enabling rapid development by teams across Ads

You'll adopt AI-first SDLC practices, interface with external systems, and build architectures that are exemplary in robustness, stability, and scalability. You'll collaborate with software leaders, product leaders, and senior engineers to deliver innovative products our global customers use daily - with the opportunity to expand your technical skills into emerging technologies.
Key job responsibilities
- Design and build experiences that enable advertisers to optimize their campaigns through intelligent, autonomous systems
- Build high-volume, scalable systems that interface with external systems and make independent decisions in real-time
- Define architectural strategy and lead the design of software systems exemplary in robustness, stability, and scalability
- Adopt AI-first SDLC practices to accelerate development and delivery across the team
- Collaborate with software leaders, product leaders, and engineering peers to deliver innovative ads products used by global customers daily
- Contribute to the fast-evolving platform fabric that enables rapid development by teams across Amazon Ads
- Dive deep into complex problems and deliver solutions that directly improve the advertiser experience
A day in the life
Great candidates for this role enjoy being challenged with discovering solutions to complex problems, diving deep, and thinking big to deliver amazing results for our customers. They enjoy defining architectural strategy, working collaboratively, and take pride in solving customer problems

Most important, they will work shoulder-to-shoulder with other senior engineers, product leaders, and software development managers to deliver truly innovative software.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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