Amazon
Amazon Postdoctoral Scientist, Pricing Systems
Amazon, Bellevue, Washington, us, 98009
Job ID: 2706036 | Amazon.com Services LLCThis is a unique opportunity for a postdoc to work on research projects that investigate state of the art NLP, IR, and LLM approaches for understanding retail products and their pricing. This will include working with billion-scale datasets and investigating how the world knowledge captured by LLMs reflects real world prices, and investigating more advanced prompting and reasoning techniques to construct large knowledge graphs that are specialized for various pricing use cases such as probabilistic price estimation, as well as error detection and correction.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 Amazon’s vibrant and diverse global science community.Publish your innovation in top-tier academic venues and hone your presentation skills.Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.About the team
The retail pricing science team is a centralized diverse team of STEM scientists that develop statistical, ML, RL, optimization and economic models that drive pricing for products sold by Amazon worldwide, as well as monitoring of prices and experimentations in pricing. The team has a dual focus on competitiveness and long term financial optimality.BASIC QUALIFICATIONS
Basic qualifications include:PhD in a relevant field, received within 2 years of starting the programProven publication record in Operation Research, Management Science, Statistics, Machine Learning, Computer Science, Econ, or other related technical fieldsExperience in data science and quantitative researchProficiency in technologies relevant to the subfieldPREFERRED QUALIFICATIONS
Postdocs demonstrate the following preferred job qualifications:Ability to independently deliver results in a fast-paced environmentPublications at top-tier, peer-reviewed conferences and/or journalsExceptional verbal and written communication skillsExpert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategiesRequired application materials:
CV, which lists all peer-reviewed publications and conferencesResearch statement that outlines your research achievements and future research interestsA journal article or book chapter that demonstrates your domain expertiseAmazon 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.
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In this role you will:Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.Publish your innovation in top-tier academic venues and hone your presentation skills.Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.About the team
The retail pricing science team is a centralized diverse team of STEM scientists that develop statistical, ML, RL, optimization and economic models that drive pricing for products sold by Amazon worldwide, as well as monitoring of prices and experimentations in pricing. The team has a dual focus on competitiveness and long term financial optimality.BASIC QUALIFICATIONS
Basic qualifications include:PhD in a relevant field, received within 2 years of starting the programProven publication record in Operation Research, Management Science, Statistics, Machine Learning, Computer Science, Econ, or other related technical fieldsExperience in data science and quantitative researchProficiency in technologies relevant to the subfieldPREFERRED QUALIFICATIONS
Postdocs demonstrate the following preferred job qualifications:Ability to independently deliver results in a fast-paced environmentPublications at top-tier, peer-reviewed conferences and/or journalsExceptional verbal and written communication skillsExpert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategiesRequired application materials:
CV, which lists all peer-reviewed publications and conferencesResearch statement that outlines your research achievements and future research interestsA journal article or book chapter that demonstrates your domain expertiseAmazon 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.
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