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Data Science Fall Internship Jobs in Seattle, WA

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

Associate Data Scientist

Seattle, WA · On-site

$67K - $68K/yr

Experience (internship or 0-2 years) in a data science, analytics, or quantitative modeling role (travel or revenue management industry experience a plus). * Technical proficiency in Python or R, and ...

Associate Data Scientist

Seattle, WA

$67K - $68K/yr

Experience (internship or 0-2 years) in a data science, analytics, or quantitative modeling role (travel or revenue management industry experience a plus). * Technical proficiency in Python or R, and ...

Associate Data Scientist

Seattle, WA · On-site

$67K - $68K/yr

Experience (internship or 0-2 years) in a data science, analytics, or quantitative modeling role (travel or revenue management industry experience a plus). * Technical proficiency in Python or R, and ...

Principal Data Scientist

Seattle, WA · On-site

$200K - $245K/yr

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or ... We welcome compensation discussions-apply even if your expectations fall outside the range. Any ...

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Data Science Fall Internship information

See Seattle, WA salary details

$13

$25

$47

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

As of Jun 28, 2026, the average hourly pay for data science fall internship in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science Fall Internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

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

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is a Data Science Fall Internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What cities near Seattle, WA are hiring for Data Science Fall Internship jobs? Cities near Seattle, WA with the most Data Science Fall Internship job openings:
Quality Assurance Engineer Fall Internship - 2026 (US)

Quality Assurance Engineer Fall Internship - 2026 (US)

Amazon

Seattle, WA • On-site

Full-time

Medical, Retirement

Posted yesterday


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,908 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day.
Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. By applying to this position, your application will be considered for all quality assurance engineer Internship roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Austin (TX), New York City (NY), Minneapolis (MN).
Start dates for this Fall internship in this posting may be selected in August or September 2026.
Do you enjoy solving complex problems and troubleshooting products? Are you passionate about developing software development test strategies, finding, and tracking bugs to resolution, and innovating on behalf of customers? Do you want to be a part of a fast-paced, ambiguous environment and contribute to one of the most visited sites on the Internet?
At Amazon, we hire the best minds in technology to innovate on behalf of our customers. The focus we have on our customers is why we are one of the world's most beloved brands - customer obsession is part of our company DNA. Quality assurance engineer interns use technology to solve complex problems and get to see the impact of their work first-hand.
The challenges quality assurance engineer interns solve for at Amazon are big and impact millions of customers, sellers, and products around the world. Our path is not always simple, so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon - someone who is excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks, not years.
Key job responsibilities
As a quality assurance engineer intern, you will/may:
• Use technical knowledge to create, execute, and maintain software test plans and automation involving one or more product components and/or features.
• Create and maintain automation scripts, make configuration changes, and modify/extend test cases to accommodate feature releases.
• Develop test solutions, scripts, and simple tools to reduce manual effort, audit component, or improve feature quality.
• Troubleshoot automation failures and isolate bugs to help developers research the root cause of defects.
• Analyze change requests and provide recommendations on how change might impact test scope and/or product behavior.
A day in the life
Our internship program provides hands-on learning and building experiences for students who are interested in a career in quality assurance engineering. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your internship and learn in a real-world setting.
BASIC QUALIFICATIONS
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Are enrolled in a academic program that is physically located in the United States
- Experience in one or more scripting languages (e.g., Python, Ruby, Perl)
- Experience in software-testing techniques (like equivalence class partitioning), and software testing life cycle
- Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
- Experience with technologies (e.g., Selenium, Junit, TestNG, and other open source tools)
- Currently working towards a Bachelor's Degree in computer science, computer engineering, or other equivalent discipline, with an expected conferral date between October 2026 - December 2029.
PREFERRED QUALIFICATIONS
- Experience designing and planning test conditions, test scripts, and test data sets to ensure appropriate and adequate coverage and control
- Experience executing and maintaining black box test cases
- Experience troubleshooting issues and root cause analysis
- Experience with software-testing techniques (e.g., equivalence class partitioning), and software testing life cycle
- Background in networking/wireless background
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
USA, WA, Seattle - 84,100.00 - 147,200.00 USD annually

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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