Amazon Applied Scientist

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Job Details

Posted date: Dec 16, 2025

There have been 722 jobs posted with the title of Applied Scientist all time at Amazon.
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Location: Seattle, WA

Estimated salary: $179,700
Range: $136,000 - $223,400


Description

We are looking for a talented, organized, and customer-focused applied researchers to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon.

This role requires an individual with exceptional machine learning modeling and architecture expertise, excellent cross-functional collaboration skills, business acumen, and an entrepreneurial spirit.

We are looking for an experienced innovator, who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.

Key job responsibilities

* See the big picture. Understand and influence the long term vision for Amazon's science-based competitive, perception-preserving pricing techniques

* Build strong collaborations. Partner with product, engineering, and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale

* Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning, neural networks, natural language processing, probabilistic forecasting, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing & Promotions business problems

* Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery.

* Successfully execute & deliver. Apply your exceptional technical machine learning expertise to incrementally move the needle on some of our hardest pricing problems.

A day in the life

We are hiring an applied scientist to drive our pricing optimization initiatives. We drive cross-domain and cross-system improvements through:

* invent and deliver price optimization, simulation, and competitiveness tools for Amazon merchants.

* shape and extend our RL optimization platform - a pricing centric tool that automates the optimization of various system parameters and price inputs.

* Error detection and price quality guardrails at scale.

* Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)

Price is a highly relevant input into Stores architectures, and is highly relevant to the customer; this role creates the opportunity to drive extremely large impact (measured in Bs not Ms), but demands careful thought and clear communication.



Qualifications

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

- Experience programming in Java, C++, Python or related language

- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing



Extended Qualifications

- Experience using Unix/Linux

- Experience in professional software development

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. 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, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.



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