Applied Scientist II - Causal Learning Pricing and Promotions
Applied Scientist II - Causal Learning Pricing and Promotions
Posted on :
15-03-2025
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1 Vacancy
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Job Description
Amazons Pricing and Promotions Science is seeking a strong Applied Scientist II for work on deep causal learning. This work provides businesscritical insights into pricing strategies that are of interest to Amazons most senior leaders.
We are looking for a talented technically skilled scientist with a strong sense of ownership and drive to join the Impact Intelligence team. This teams charter is to build causal models that (a) provide entitlements of key business programs and (b) generate trustworthy signals for use in a multitude of downstream ML systems that have visible impact on the customer experience worldwide.
Key job responsibilities
Build scalable solutions. We operate on largescale data to drive insights from complex environments.
Approach with rigor. Due to the lack of ground truth inherent in causal questions we expect our scientists to maintain high standards on the care put into their models.
Stay current. We obsess over what resources we can use to iterate on our model designs and we expect our scientists to stay uptodate with the latest approaches to causal learning.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed conferences or journals
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
Experience using Unix/Linux
Experience in professional software development
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 technically skilled scientist with a strong sense of ownership and drive to join the Impact Intelligence team. This teams charter is to build causal models that (a) provide entitlements of key business programs and (b) generate trustworthy signals for use in a multitude of downstream ML systems that have visible impact on the customer experience worldwide.
Key job responsibilities
Build scalable solutions. We operate on largescale data to drive insights from complex environments.
Approach with rigor. Due to the lack of ground truth inherent in causal questions we expect our scientists to maintain high standards on the care put into their models.
Stay current. We obsess over what resources we can use to iterate on our model designs and we expect our scientists to stay uptodate with the latest approaches to causal learning.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed conferences or journals
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
Experience using Unix/Linux
Experience in professional software development
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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