Research Scientist Fulfillment by Amazon FBA Science
Research Scientist Fulfillment by Amazon FBA Science
Posted on :
24-04-2025
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1 Vacancy
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Job Description
The Fulfillment by Amazon (FBA) team is looking for a passionate curious and creative Research Scientist to join our topnotch crossdomain FBA science team. As a research scientist you will be responsible for generating datadriven insights influencing business directions and product/policy designs building statistical and ML models to learn Seller and customer behaviors and collaborating with business and software teams to solve key challenges facing the worldwide FBA Seller business including 1 improving FBA Seller inventory efficiency 2 efficiently balancing the supply and demand of FBA Seller capacity 3 closing worldwide selection gap by enabling global selling profitability and 4 driving out costs across the FBA supply chain to spin the flywheel. Unlike many companies who buy existing offtheshelf planning systems we are responsible for studying designing and building systems to suit Amazons needs. Our team members have an opportunity to be on the forefront of thought leadership by working on some of the most difficult problems in the industry with some of the best product managers scientists and software developers in the business. This role will work with other senior and principal scientists and partner with engineering and product teams to integrate scientific work into production systems.
Key job responsibilities
As a member of the FBA science team you will play an integral part in Amazons FBA inventory management with the following technical and leadership responsibilities:
Solve realworld problems by analyzing large amounts of business data diving deep to identify business insights and opportunities designing simulations and experiments developing statistical and ML models by tailoring to business needs and collaborating with Scientists Engineers BIEs and Product Managers.
Write code (Python Scala etc. to analyze data and build innovative statistical and machine learning models to drive FBA growth and efficiency.
Translate business problems into specific analytical questions and form hypotheses that can be answered with available data using scientific methods or identify additional data needed in the master datasets to fill any gaps
Retrieve analyze synthesize and present historical data in a format that is immediately useful to answer specific questions improve system performance or support decision making.
Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
Proactively seek to identify business opportunities and insights and provide solutions to shape key business processes and policies based on a broad and deep knowledge of Amazon data industry bestpractices and work done by other teams.
A day in the life
As a Research Scientist you will solve real world large ML problems by analyzing large amounts of business data defining new metrics and business cases designing simulations and experiments building new and enhance existing ML models. You will work with Product Managers Software Engineers and other Scientists to deeply understand FBA Seller business problems and priorities. You will lead the research where we are responsible for developing solutions to better manage and optimize worldwide FBA inventory capacity while providing the best experience to our Sellers to growth their business.
About the team
Fulfillment by Amazon (FBA) is a service that allows sellers to outsource order fulfillment to Amazon allowing sellers to leverage Amazons worldclass facilities to provide customers Prime delivery promise. Sellers gain access to Prime members worldwide see their sales lift and are free to focus their time and resources on what they do best while Amazon manages fulfillment. Over the last several years sellers have enjoyed strong business growth with FBA shipping more than half of all products offered by Amazon. FBA focuses on helping sellers with automating and optimizing the thirdparty supply chain. FBA sellers leverage Amazons expertise in machine learning optimization data analytics econometrics and market design to deliver the best inventory management experience to sellers. We work fullstack from foundational backend systems to futureforward user interfaces. Our culture is centered on rapid prototyping rigorous experimentation and datadriven decisionmaking.
PhD or Masters degree and 4 years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets
PhD in math/statistics/engineering or other equivalent quantitative discipline
Knowledge of R MATLAB Python or similar scripting language
Knowledge of machine learning processing: computer vision NLU NLP or operations research
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $212800/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.
Key job responsibilities
As a member of the FBA science team you will play an integral part in Amazons FBA inventory management with the following technical and leadership responsibilities:
Solve realworld problems by analyzing large amounts of business data diving deep to identify business insights and opportunities designing simulations and experiments developing statistical and ML models by tailoring to business needs and collaborating with Scientists Engineers BIEs and Product Managers.
Write code (Python Scala etc. to analyze data and build innovative statistical and machine learning models to drive FBA growth and efficiency.
Translate business problems into specific analytical questions and form hypotheses that can be answered with available data using scientific methods or identify additional data needed in the master datasets to fill any gaps
Retrieve analyze synthesize and present historical data in a format that is immediately useful to answer specific questions improve system performance or support decision making.
Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
Proactively seek to identify business opportunities and insights and provide solutions to shape key business processes and policies based on a broad and deep knowledge of Amazon data industry bestpractices and work done by other teams.
A day in the life
As a Research Scientist you will solve real world large ML problems by analyzing large amounts of business data defining new metrics and business cases designing simulations and experiments building new and enhance existing ML models. You will work with Product Managers Software Engineers and other Scientists to deeply understand FBA Seller business problems and priorities. You will lead the research where we are responsible for developing solutions to better manage and optimize worldwide FBA inventory capacity while providing the best experience to our Sellers to growth their business.
About the team
Fulfillment by Amazon (FBA) is a service that allows sellers to outsource order fulfillment to Amazon allowing sellers to leverage Amazons worldclass facilities to provide customers Prime delivery promise. Sellers gain access to Prime members worldwide see their sales lift and are free to focus their time and resources on what they do best while Amazon manages fulfillment. Over the last several years sellers have enjoyed strong business growth with FBA shipping more than half of all products offered by Amazon. FBA focuses on helping sellers with automating and optimizing the thirdparty supply chain. FBA sellers leverage Amazons expertise in machine learning optimization data analytics econometrics and market design to deliver the best inventory management experience to sellers. We work fullstack from foundational backend systems to futureforward user interfaces. Our culture is centered on rapid prototyping rigorous experimentation and datadriven decisionmaking.
PhD or Masters degree and 4 years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets
PhD in math/statistics/engineering or other equivalent quantitative discipline
Knowledge of R MATLAB Python or similar scripting language
Knowledge of machine learning processing: computer vision NLU NLP or operations research
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $212800/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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