Applied Scientist, Pricing Science
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Job Location:
Seattle, OR - USA
Yearly Salary:
$ 136000 - 223400
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
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 Amazons 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.
- PhD or Masters 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
- 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 for more information. If the country/region youre applying in isnt 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 $136000/year in our lowest geographic market up to $223400/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
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 Amazons 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.
- PhD or Masters 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
- 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 for more information. If the country/region youre applying in isnt 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 $136000/year in our lowest geographic market up to $223400/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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