Applied Scientist Pricing and Promotion Optimization
Applied Scientist Pricing and Promotion Optimization
Posted on :
15-03-2025
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1 Vacancy
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Job Description
Amazons Pricing & Promotions Optimization Science is seeking a motivated Applied Scientist to harness planet scale multimodal datasets and navigate a continuously evolving competitor landscape in order to regularly generate fresh customerrelevant prices and promotions on billions of Amazon and Third Party Seller products worldwide.
We are looking for a talented organized and customerfocused applied scientists to define measure and launch customerobsessed solutions across all products listed on Amazon.
This role requires an individual with exceptional AI and data science expertise excellent crossfunctional collaboration skills strong 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/promotion techniques
Build strong collaborations. Partner with product engineering and science teams within and outside Pricing & Promotions org to deploy AI/Data solutions at Amazon scale
Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in neural networks search & ranking natural language processing probabilistic forecasting reinforcement learning 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 AI and data science expertise to incrementally move the needle on some of our hardest science and tech problems
About the team
About the team: the Pricing and Promotion Optimization team within P2 Science leads the definition measurement and implementation of the stateoftheart AI and data science solutions to improve price/promotion quality across the site and bring value to customers sellers and Amazon.
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 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 scientists to define measure and launch customerobsessed solutions across all products listed on Amazon.
This role requires an individual with exceptional AI and data science expertise excellent crossfunctional collaboration skills strong 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/promotion techniques
Build strong collaborations. Partner with product engineering and science teams within and outside Pricing & Promotions org to deploy AI/Data solutions at Amazon scale
Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in neural networks search & ranking natural language processing probabilistic forecasting reinforcement learning 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 AI and data science expertise to incrementally move the needle on some of our hardest science and tech problems
About the team
About the team: the Pricing and Promotion Optimization team within P2 Science leads the definition measurement and implementation of the stateoftheart AI and data science solutions to improve price/promotion quality across the site and bring value to customers sellers and Amazon.
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 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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