Amazon Postdoctoral Scientist Perfect Order Experience POE Trustworthy Shopping Experience TSE
Amazon Postdoctoral Scientist Perfect Order Experience POE Trustworthy Shopping Experience TSE
Posted on :
28-04-2025
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1 Vacancy
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Job Description
Amazon is looking for a talented Postdoctoral Scientist to join our Perfect Order Experience (POE) Trustworthy Shopping Experience (TSE) team for a oneyear fulltime research position. Postdoctoral Scientists will drive datadriven innovations in decision optimization and causal inference.
In this role you will have the opportunity to:
Leverage advanced statistical techniques and machine learning models to extract valuable insights from historical data and comparable item information.
Tackle data scarcity challenges by developing innovative approaches to maximize the utility of available data sources.
Collaborate with crossfunctional teams to develop and deploy productionready solutions.
Participate in research activities including publishing papers attending conferences and collaborating with academic institutions to advance the stateoftheart in relevant fields.
Key job responsibilities
In this role you will:
Work closely with a senior science advisor collaborate with other scientists and engineers and be part of Amazons vibrant and diverse global science community.
Publish your innovation in toptier academic venues and hone your presentation skills.
Be inspired by challenges and opportunities to invent cuttingedge techniques in your area(s) of expertise.
About the team
We are a Center of Excellence of building economic solutions to optimize the return of investment at the program level and at the decision level. We focus on projects that have the largest impact and greatest long term potential across the business. Our products are models scalable services and actionable insights. We proactively identify and explore opportunities on behalf of our business partners.
Basic qualifications include:
PhD in a relevant field received within 2 years of starting the program
Proven publication record in Operation Research Statistics Machine Learning Computer Science Econ or other related technical fields
Experience in quantitative research and foundation models
Proficiency in technologies relevant to the subfield
Postdocs demonstrate the following preferred job qualifications:
Ability to independently deliver results in a fastpaced environment
Publications at toptier peerreviewed conferences and/or journals
Exceptional verbal and written communication skills
Expert knowledge in modeling and performance operationalization and scalability of scientific techniques and establishing decision strategies
Required application materials:
CV which lists all peerreviewed publications and conferences
Research statement that outlines your research achievements and future research interests and
A journal article or book chapter that demonstrates your domain expertise.
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.
In this role you will have the opportunity to:
Leverage advanced statistical techniques and machine learning models to extract valuable insights from historical data and comparable item information.
Tackle data scarcity challenges by developing innovative approaches to maximize the utility of available data sources.
Collaborate with crossfunctional teams to develop and deploy productionready solutions.
Participate in research activities including publishing papers attending conferences and collaborating with academic institutions to advance the stateoftheart in relevant fields.
Key job responsibilities
In this role you will:
Work closely with a senior science advisor collaborate with other scientists and engineers and be part of Amazons vibrant and diverse global science community.
Publish your innovation in toptier academic venues and hone your presentation skills.
Be inspired by challenges and opportunities to invent cuttingedge techniques in your area(s) of expertise.
About the team
We are a Center of Excellence of building economic solutions to optimize the return of investment at the program level and at the decision level. We focus on projects that have the largest impact and greatest long term potential across the business. Our products are models scalable services and actionable insights. We proactively identify and explore opportunities on behalf of our business partners.
Basic qualifications include:
PhD in a relevant field received within 2 years of starting the program
Proven publication record in Operation Research Statistics Machine Learning Computer Science Econ or other related technical fields
Experience in quantitative research and foundation models
Proficiency in technologies relevant to the subfield
Postdocs demonstrate the following preferred job qualifications:
Ability to independently deliver results in a fastpaced environment
Publications at toptier peerreviewed conferences and/or journals
Exceptional verbal and written communication skills
Expert knowledge in modeling and performance operationalization and scalability of scientific techniques and establishing decision strategies
Required application materials:
CV which lists all peerreviewed publications and conferences
Research statement that outlines your research achievements and future research interests and
A journal article or book chapter that demonstrates your domain expertise.
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.
Employment Type
Full-Time
Key Skills
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