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Seasonal Amazon Data Science Jobs in Washington (NOW HIRING)

Develop and maintain data solutions that support reporting, business intelligence, data science ... Advanced experience with modern data platform, such as Snowflake, Databricks, Amazon Redshift, or ...

Data Science Consultant Location * Washington, DC Area (Hybrid) Summit is a specialized analytics ... Experience with cloud-native-data platforms and services (e.g., Amazon S3, AWS Glue, Athena ...

Data Science ConsultantLocationWashington, DC Area (Hybrid) Summit is a specialized analytics firm ... Preferred SkillsSQLExperience with cloud-native-data platforms and services (e.g., Amazon S3, AWS ...

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

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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.

Do seasonal Amazon Data Science employees get hired permanently?

Seasonal Amazon Data Science employees are typically hired for temporary periods to support specific projects or peak seasons. Transition to permanent roles is possible but not guaranteed and depends on performance, business needs, and available openings. Many employees use seasonal roles to gain experience and may apply for full-time positions later.

Does Amazon hire seasonally?

Yes, Amazon hires seasonally, especially during peak shopping periods like the holidays. Seasonal roles often include positions in fulfillment centers, data analysis, and logistics, and they typically last for several months. These roles may require quick onboarding and familiarity with warehouse or data tools.

What are the most commonly searched types of Amazon Data Science jobs in Washington?

The most popular types of Amazon Data Science jobs in Washington are:

What are popular job titles related to Seasonal Amazon Data Science jobs in Washington?

For Seasonal Amazon Data Science jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Seasonal Amazon Data Science jobs in Washington look for?

The top searched job categories for Seasonal Amazon Data Science jobs in Washington are:

What cities in Washington are hiring for Seasonal Amazon Data Science jobs?

Cities in Washington with the most Seasonal Amazon Data Science job openings:

Infographic showing various Seasonal Amazon Data Science job openings in Washington as of June 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Manager III, Data Science - AMZ9890706

Amazon

Arlington, VA • On-site

$181K - $236K/yr

Full-time

Posted 7 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,122 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

MULTIPLE POSITIONS AVAILABLE
Employer: AMAZON.COM SERVICES LLC
Offered Position: Manager III, Data Science
Job Location: Arlington, Virginia
Job Number: AMZ9890706
Position Responsibilities:
Manage a team of data and applied scientists delivering production machine learning (ML) and experimentation pipelines. Research, develop, and deploy production ML models. Support, monitor, and improve production ML models. Perform analysis on business performance and make recommendations to improve products. Set team research roadmap and prioritization on a routine basis. Propose analytics approaches to solve new business problems.
Position Requirements:
PhD or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related field and five years of experience in the job offered or a related occupation. Employer will accept a master's degree or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related field and seven years of experience in the job offered or a related occupation as equivalent to a PhD and five years of experience. Must have five years of experience in the following skill(s): (1) programming in Python or R. Must have one year of experience in the following skill(s): managing scientists or machine learning engineers.
Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
40 hours / week, 8:00am-5:00pm, Salary Range $181,638/year to $236,900/year.
Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:
https://www.aboutamazon.com/workplace/employee-benefits.#0000
BASIC QUALIFICATIONS
Position Requirements:
PhD or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related field and five years of experience in the job offered or a related occupation. Employer will accept a master's degree or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related field and seven years of experience in the job offered or a related occupation as equivalent to a PhD and five years of experience. Must have five years of experience in the following skill(s): (1) programming in Python or R. Must have one year of experience in the following skill(s): managing scientists or machine learning engineers.#0000
PREFERRED QUALIFICATIONS
Please see job description and the position requirements above.
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.

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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