1

Internship Data Science Analytics Jobs in Seattle, WA

Senior Data Scientist

Seattle, WA · On-site

$151 - $183/hr

The role sits at the edge of applied data science and AI engineering: you will design evaluation datasets, build analytical features, prototype models, test agent and retrieval performance, measure ...

Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of Ads AI at scale * Work with engineering and other data scientists ...

Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities * Analyze data toidentifyor resolve operational problems to create ...

Highly analytical with strong intellectual curiosity and a drive to apply new modeling methods to optimize business performance. * Significant experience with data science technology stacks and the ...

... looking for data science interns in the areas of natural language processing, natural language ... Your scope will reach from text classification problems over big data analytics to A/B testing and ...

Director, Data Science

Seattle, WA · On-site

$201K - $281K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Strong analytical, strategic thinking, and problem-solving skills. * Experience using AI-assisted ...

Comprising Analysts, Data Scientists, and Engineers, our team brings a deep understanding of the media landscape, advanced data science techniques, and strong coding skills, all fueled by a passion ...

Conduct analysis that includes data gathering and requirements specification, processing, analysis ... SQL) 5. Experience building data science models (Regression, Decision Trees, K-Means, etc ...

This is not an analytics support role. Your team will work directly with Product, Engineering, and ... Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling ...

Showing results 21-40

Internship Data Science Analytics information

See Seattle, WA salary details

$13

$25

$47

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

As of Aug 12, 2026, the average hourly pay for internship data science analytics 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 is the difference between Internship Data Science Analytics vs Data Analyst Intern?

AspectInternship Data Science AnalyticsData Analyst Intern
Required CredentialsBasic knowledge of statistics, programming (Python/R), and data toolsSimilar skills, often with coursework in statistics or data analysis
Work EnvironmentHands-on projects, collaborative teams, tech-focused companiesData collection, cleaning, visualization tasks in various industries
Employer & Industry UsageTech firms, finance, healthcare, consultingRetail, marketing, finance, tech

Internship Data Science Analytics and Data Analyst Intern roles share similar skills and work environments, focusing on data handling and analysis. The main difference lies in scope: Data Science Analytics internships often involve more advanced statistical modeling and machine learning, while Data Analyst Intern roles emphasize data visualization and reporting. Both serve as entry points into data careers, with overlapping skills but different focus areas.

What are the most commonly searched types of Data Science Analytics jobs in Seattle, WA? The most popular types of Data Science Analytics jobs in Seattle, WA are:
Infographic showing various Internship Data Science Analytics job openings in Seattle, WA as of August 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 100% In-person job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Data Scientist, Amazon Devices, Devices Sales & Marketing

Amazon

Bellevue, WA • On-site

Full-time

Re-posted 2 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,082 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The candidate in this role will own delivery of science products and solutions to help Amazon Devices Sales and Marketing org. make better decisions: product recommendations to customers, segmentation, financial incrementality of marketing initiatives, A/B testing etc.
Key job responsibilities
The Amazon Devices organization designs, produces and markets Echo Speakers, Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players, Ring and Blink Smart Home & Security products. We are constantly looking to innovate on behalf of customers with new devices in existing or new categories or improving customer experience on existing platforms

The Devices Data Services (DDS) team provides Data Science, Analytics and Engineering support to the broader organization to enable Sales and Marketing activities across all these product lines.
We are looking for an innovative, hands-on and customer-obsessed Data Scientist who can be a strategic partner to the product managers and engineers on the team. Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, and building predictive machine learning models. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, is motivated to build something that will eventually become a production software system, and possesses strong communication skills to effectively interface between technical and business teams.
In this role, you will be a technical expert with massive impact

You will take the lead on developing
advanced ML systems that are key to reaching our customers with the right recommendations at the right time. Your work will directly impact the success of Amazon's growing Devices business. You will work across diverse science/engineering/business teams.

You will work on critical data science problems, building high quality, reliable, accurate, and consistent code sets that are aligned with our business needs.
Key Performance Areas
- Implement statistical or machine learning methods to solve specific business problems.
- Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
- Directly contribute to development of modern automated recommendation systems
- Build customer-facing reporting tools to provide insights and metrics to track model performance and explain variance
- Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedback
A day in the life
You will work with other scientists, engineers, product managers, and marketers to develop new products that benefit our customers and help us reach our business goals. You will own solutions from end to end: conceptualization, prioritization, development, delivery, and productionalization.
About the team
We are a full stack science team that empowers product, marketing, and other business leaders to better understand customers who use Amazon devices, make decisions on product development or optimization, and measure the effectiveness of their efforts against our customer's expectation

Our focus area is to build analytical frameworks that help the organization either access data, better understand the decisions customers are making and why, or assess customer satisfaction.


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