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Seasonal Amazon Data Science Jobs (NOW HIRING)

Amazon

Data Scientist II, NASC S&OP

Bellevue, WA · On-site

The Sort Center network is the critical Middle-Mile solution in the Amazon Transportation Services ... Key job responsibilities - Development of scalable data science solutions catering to volume and ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

... Data Science initiatives across Amazon's global fulfillment and maintenance networks You will ... as seasonal or temporary employment. The benefits that generally apply to regular, full-time ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

... Data Science initiatives across Amazon's global fulfillment and maintenance networks You will ... as seasonal or temporary employment. The benefits that generally apply to regular, full-time ...

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 ...

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 ...

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 ...

University of Delaware

Manager, Data Science

Newark, DE · On-site

Manager, Data Science Job no: 503286 College / VP Area: VP Finance & Deputy Treasurer Work type ... Design, implement, and evaluate scalable data models using SQL on Amazon Redshift, and collaborate ...

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All JobsAmazon Data Science JobsSeasonal Amazon Data Science Jobs

Seasonal Amazon Data Science information

What is the difference between Seasonal Amazon Data Science vs Amazon Data Analyst?

AspectSeasonal Amazon Data ScienceAmazon Data Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; often some experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in data visualization and SQL
Work EnvironmentProject-based, seasonal roles during peak shopping periods, often remote or on-siteOngoing, full-time or part-time roles within Amazon's analytics teams
Employer & Industry UsageUsed mainly during high-demand seasons to optimize sales and logisticsUsed year-round for reporting, insights, and decision-making

Seasonal Amazon Data Science roles focus on applying advanced analytics and machine learning during peak seasons, while Amazon Data Analysts handle ongoing data reporting and insights. The roles differ mainly in scope, duration, and technical complexity, but both require strong analytical skills and familiarity with Amazon's data tools.

What cities are hiring for Seasonal Amazon Data Science jobs? Cities with the most Seasonal Amazon Data Science job openings:
What are the most commonly searched types of Amazon Data Science jobs? The most popular types of Amazon Data Science jobs are:
What states have the most Seasonal Amazon Data Science jobs? States with the most job openings for Seasonal Amazon Data Science jobs include:
What job categories do people searching Seasonal Amazon Data Science jobs look for? The top searched job categories for Seasonal Amazon Data Science jobs are:
Seasonal Amazon Data Science jobs near you
Infographic showing various Seasonal Amazon Data Science 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.
Data Scientist, Amazon Devices, Devices Sales & Marketing

Data Scientist, Amazon Devices, Devices Sales & Marketing

Amazon

Bellevue, WA • On-site

Full-time

Re-posted 4 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,968 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

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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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