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Data Science Internship No Experience Jobs in Renton, WA

Amazon

Data Scientist, Fire TV

Seattle, WA · On-site

The Fire TV, Advertising and Appstore Decision Science organization is looking for a Data Scientist ... The ideal candidate combines strong quantitative fundamentals with practical experience applying ...

Amazon

Data Scientist, Fire TV

Seattle, WA · On-site

The Fire TV, Advertising and Appstore Decision Science organization is looking for a Data Scientist ... The ideal candidate combines strong quantitative fundamentals with practical experience applying ...

Adobe, Inc.

Data Scientist

Seattle, WA · On-site

... no learning curve. Join us at Adobe Express and become involved in a groundbreaking initiative that ... Advanced degrees are preferred. * 2+ years of hands-on technical experience in a data science role

Adobe

Data Scientist

Seattle, WA · On-site

... no learning curve. Join us at Adobe Express and become involved in a groundbreaking initiative that ... Advanced degrees are preferred. * 2+ years of hands-on technical experience in a data science role

Adobe

Data Scientist

Seattle, WA · On-site

$158 - $229/hr

... no learning curve. Join us at Adobe Express and become involved in a groundbreaking initiative that ... Advanced degrees are preferred. 2+ years of hands‑on technical experience in a data science role ...

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Data Science Internship No Experience information

See Renton, WA salary details

$13

$25

$47

How much do data science internship no experience jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data science internship no experience in Renton, WA is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $27.60 per hour, depending on experience, location, and employer.

What is a data science internship no experience?

A Data Science Internship with no experience is an entry-level opportunity for students or beginners to gain hands-on exposure to data science tasks. These roles typically involve working with datasets, performing basic data analysis, and assisting with machine learning models under the guidance of experienced professionals. Employers usually look for candidates with knowledge of Python, SQL, and data visualization, even if they have no prior work experience. The goal of the internship is to build practical skills and gain industry experience for future career opportunities.

What do data science interns with no experience do?

Data Science Interns with no prior experience often support project teams by assisting with data cleaning, performing exploratory data analysis, and creating basic visualizations to communicate findings. You may be tasked with writing simple scripts, formatting datasets, and helping prepare reports or presentations for internal stakeholders. Most internships also provide mentorship, allowing you to observe and contribute to more complex machine learning or analytics projects as your skills develop. This hands-on exposure helps you gain practical experience, build your portfolio, and better understand how data science teams operate in real-world settings.

What skills and qualifications are needed for a data science internship no experience?

To thrive as a Data Science Intern with no prior experience, you should have a foundational understanding of statistics, basic programming skills (especially in Python or R), and an eagerness to learn. Familiarity with tools like Excel, Jupyter Notebook, and introductory data visualization libraries is beneficial, while online certifications (such as Coursera or DataCamp courses) can strengthen your application. Strong analytical thinking, effective communication, and a collaborative attitude are valuable soft skills. These competencies allow you to contribute to data projects, understand stakeholder needs, and grow quickly in a supportive learning environment.

What are popular job titles related to Data Science Internship No Experience jobs in Renton, WA?

For Data Science Internship No Experience jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Data Science Internship No Experience jobs in Renton, WA look for?

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What cities near Renton, WA are hiring for Data Science Internship No Experience jobs?

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Data Science Internship No Experience jobs near you
Infographic showing various Data Science Internship No Experience job openings in Renton, WA as of August 2026, with employment types broken down into 53% Full Time, and 47% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $52,652 per year, or $25.3 per hour.

Senior Applied Scientist, Amazon Leo Data Science Platform

Amazon

Redmond, WA

Full-time

Re-posted 15 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,144 frontline employees who took The Breakroom Quiz

5th 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

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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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