Applied Scientist Pricing and Promotion Optimization
Applied Scientist Pricing and Promotion Optimization
Posted on :
09-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
09-04-2025
Job Description
Amazons Pricing & Promotions Science is seeking a driven Applied Scientist to harness planet scale multimodal datasets and navigate a continuously evolving competitor landscape in order to regularly generate fresh customerrelevant prices on billions of Amazon and Third Party Seller products worldwide.
We are looking for a talented organized and customerfocused applied researchers to join our Pricing and Promotions Optimization science group with a charter to measure refine and launch customerobsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon.
This role requires an individual with exceptional machine learning and reinforcement learning modeling expertise excellent crossfunctional collaboration skills outstanding business acumen and an entrepreneurial spirit. We are looking for an experienced innovator who is a selfstarter comfortable with ambiguity demonstrates strong attention to detail and has the ability to work in a fastpaced and everchanging environment.
Key job responsibilities
See the big picture. Understand and influence the long term vision for Amazons sciencebased competitive perceptionpreserving 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 multiobjective 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. The Price Optimization science team drives crossdomain and crosssystem improvements through:
* invent and deliver price optimization simulation and competitiveness tools for Sellers.
* shape and extend our RL optimization platform a pricing centric tool that automates the optimization of various system parameters and price inputs.
* Promotion optimization initiatives exploring CX discount amount and crossproduct optimization opportunities.
* Identifying opportunities to optimally price across systems and contexts (marketplaces request types event periods)
Price is a highly relevant input into many partnerteam architectures and is highly relevant to the customer therefore this role creates the opportunity to drive extremely large impact (measured in Bs not Ms) but demands careful thought and clear communication.
About the team
About the team: the Pricing Discovery and Optimization team within P2 Science owns price quality discovery and discount optimization initiatives including criteria for internal price matching price discovery into search p13N and SP pricing bandits and Promotion type optimization. We leverage planet scale data on billions of Amazon and external competitor products to build advanced optimization models for pricing elasticity estimation product substitutability and optimization. We preserve long term customer trust by ensuring Amazons prices are always competitive and error free.
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 highperformance computing
2 years of handson predictive modeling and large data analysis experience
Experience in solving business problems through machine learning data mining and statistical algorithms
Experience building machine learning models or developing algorithms for business application
Experience in patents or publications at toptier peerreviewed conferences or journals
Reinforcement Learning and Optimization systems
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
We are looking for a talented organized and customerfocused applied researchers to join our Pricing and Promotions Optimization science group with a charter to measure refine and launch customerobsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon.
This role requires an individual with exceptional machine learning and reinforcement learning modeling expertise excellent crossfunctional collaboration skills outstanding business acumen and an entrepreneurial spirit. We are looking for an experienced innovator who is a selfstarter comfortable with ambiguity demonstrates strong attention to detail and has the ability to work in a fastpaced and everchanging environment.
Key job responsibilities
See the big picture. Understand and influence the long term vision for Amazons sciencebased competitive perceptionpreserving 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 multiobjective 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. The Price Optimization science team drives crossdomain and crosssystem improvements through:
* invent and deliver price optimization simulation and competitiveness tools for Sellers.
* shape and extend our RL optimization platform a pricing centric tool that automates the optimization of various system parameters and price inputs.
* Promotion optimization initiatives exploring CX discount amount and crossproduct optimization opportunities.
* Identifying opportunities to optimally price across systems and contexts (marketplaces request types event periods)
Price is a highly relevant input into many partnerteam architectures and is highly relevant to the customer therefore this role creates the opportunity to drive extremely large impact (measured in Bs not Ms) but demands careful thought and clear communication.
About the team
About the team: the Pricing Discovery and Optimization team within P2 Science owns price quality discovery and discount optimization initiatives including criteria for internal price matching price discovery into search p13N and SP pricing bandits and Promotion type optimization. We leverage planet scale data on billions of Amazon and external competitor products to build advanced optimization models for pricing elasticity estimation product substitutability and optimization. We preserve long term customer trust by ensuring Amazons prices are always competitive and error free.
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 highperformance computing
2 years of handson predictive modeling and large data analysis experience
Experience in solving business problems through machine learning data mining and statistical algorithms
Experience building machine learning models or developing algorithms for business application
Experience in patents or publications at toptier peerreviewed conferences or journals
Reinforcement Learning and Optimization systems
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Employment Type
Full-Time
Key Skills
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