Amazon Postdoctoral Scientist Seller Fees Science Tech
Amazon Postdoctoral Scientist Seller Fees Science Tech
Posted on :
24-04-2025
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1 Vacancy
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Job Description
Amazon is looking for a talented Postdoctoral Scientist to join our Seller Fees Science & Tech team for a oneyear fulltime research position. Postdoctoral Scientists will drive datadriven innovations in the seller fee domain for our EU marketplace.
In this role you will have the opportunity to:
Leverage economic methods like modeling and impact estimation to address key issues using large realworld datasets;
Partner with PMs and BAs to identify data and define metrics evaluating business initiatives and making recommendations;
Execute from idea to implementation as an integral part of crossfunctional teams;
Thrive in a highly complex and fast pacing environment.
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:
Build causal inference modeling to evaluate the effects of policy changes such as fee adjustments and new fee structures on seller behaviors and business metrics;
Analyze how sellers and key outcomes are impacted by variations in growth strategies;
Design experiments to measure pilot programs and support scalingup effort;
Synthesize learnings from past policy changes into critical insight to help the business develop new strategies and make sciencebased decisions.
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
The Fee Science Team works on science economic machine learning and data engineering projects for Selling Partner Services and thirdparty fees. Our projects include causal modeling and impact of structural changes models that support fee integrity business analytics and a comprehensive set of data sources and pipelines.
Basic qualifications include:
PhD in a relevant field received within 2 years of starting the program
Proven publication record in Operation Research Management Science Statistics Machine Learning Computer Science Econ or other related technical fields
Experience in data science and quantitative research
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 economic methods like modeling and impact estimation to address key issues using large realworld datasets;
Partner with PMs and BAs to identify data and define metrics evaluating business initiatives and making recommendations;
Execute from idea to implementation as an integral part of crossfunctional teams;
Thrive in a highly complex and fast pacing environment.
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:
Build causal inference modeling to evaluate the effects of policy changes such as fee adjustments and new fee structures on seller behaviors and business metrics;
Analyze how sellers and key outcomes are impacted by variations in growth strategies;
Design experiments to measure pilot programs and support scalingup effort;
Synthesize learnings from past policy changes into critical insight to help the business develop new strategies and make sciencebased decisions.
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
The Fee Science Team works on science economic machine learning and data engineering projects for Selling Partner Services and thirdparty fees. Our projects include causal modeling and impact of structural changes models that support fee integrity business analytics and a comprehensive set of data sources and pipelines.
Basic qualifications include:
PhD in a relevant field received within 2 years of starting the program
Proven publication record in Operation Research Management Science Statistics Machine Learning Computer Science Econ or other related technical fields
Experience in data science and quantitative research
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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