Senior Applied Scientist Featured Merchant Algorithm
Senior Applied Scientist Featured Merchant Algorithm
Posted on :
28-04-2025
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1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
28-04-2025
Job Description
Have you ever wondered how Amazon selects the offer(s) for a given product from potentially hundreds of sellers selling the same item It is one of the most critical models in Amazon and one of the most visible ones on the web. Whenever you see price anywhere on Amazon in any locale it is calling this model at the backend. This is an opportunity to work with the team Featured Merchant Algorithm that develops and maintains this model. It drives one of the most coveted real estate in the ecommerce industry the Offer Display across all surfaces (mobile app mobile web desktop Alexa shopping) worldwide. The teams vision is to simplify Amazon shopping experience by helping customers discover and evaluate offers to find the right option for their shopping journey. We use Machine Learning models to select rank and feature the most relevant offers to customers. Our model serves hundreds of millions of Amazon customers handles millions of requests per second for hundreds of millions of products and billions of offers across the world.
We are looking for an Applied Scientist to join this high impact high visibility team. You will lead the development and expansion of the next generation of the featured offer selection models. These new models will incorporate the continually changing preferences of our customers and continue to scale with numerous new programs that Amazon is introducing for our customers. You will work with multiple Amazon businesses and programs to identify big business opportunities and propose new business features and technical systems to improve customer experience. As a team we own the endtoend life cycle of models estimation simulation and experimentation. We work in the interface of Artificial Intelligence Statistics and Econometrics. Your work will cut across various subdisciplines like Causal Inference Bayesian Modeling Deep Learning Counterfactual Estimation and Evaluation Multiarmed Bandits and Highdimensional Multivariate Experiments. You will be responsible for the quality of the model and will get the opportunity to present your ideas and share results of your deliverables with Amazon executives and Amazon scholars on a regular basis. As a senior scientist you will be collaborating with junior scientists to define and enforce broad companywide technical standards in statistical modeling optimization and simulation techniques.
Why is this a great opportunity
We impact the global Amazon retail business: We are at the center of Amazons retail universe. As a part of the broader Buying Experience org we work closely with other Retail teams like Search Pricing Cart Checkout Delivery Experience Ultra Fast Grocery SubscribenSave etc. We build systems that are used every time a customer sees any item on the Amazon website (globally) and help them in making purchase decisions. As a result we constantly strive to earn and preserve the customer trust. Our impact is typically measured in hundreds of millions of dollars.
We are diverse: Our team is diverse in terms of expertise (SDE/Scientists/Economists/Data Engineer/Product Manager) nationality 10 countries) experience (college graduate to industry veteran) techstacks (AWS Datapath) and office locations (Seattle Bangalore Berlin Vancouver).
We prioritize learning: Work alongside some of Amazons smartest engineers scientists economists and product managers. We have one Principal Economist and two Principal SDE in the team to learn from. We regularly take ML courses and present/teach at internal and external forums. We innovate publish and file patents. We regularly review our models with academics like Michael Jordan Guido Imbens and Alberto Abadie.
We ensure worklife balance: Our teamworks together to provide worklife harmony for all team that the circumstances of our team members vary and webalance work across the team so that we are all able to maintain highstandards on behalf of our customers while at the same time allowingfor rich and happy personal lives.
We have fun: We find ways to relax and unwind with team events and group lunches.
If you are ready to truly make an impact on a product that is used by hundreds of millions of people around the world including your own friends and family then we would love to talk to you.
Key job responsibilities
Influence: Drive the scientific vision of the team. Present ideas to the senior leadership build consensus lead crossorg collaborations and mentor junior engineers and scientists.
: Deliver tactical solutions with strategic thinking to create reusable scientific components resolving immediate challenges while building for future scalability.
Knowledge: Keep abreast of the trends in academia and industry know the stateoftheart. Publish papers and file patents to contribute to the broader scientific community inside and outside the company.
Scientific complexity: Innovate and extend scientific methods to address customers needs or business problems.
Engineering complexity: Partner with engineering to transform complex technical requirements into production solutions while optimizing performance tradeoffs.
Technical judgement: Be a pragmatic problem solver applying judgment and experience to balance the technical tradeoffs and how the applied scientific solution is positioned with respect to the stateoftheart.
PhD or Masters degree and 6 years of applied research experience
3 years of building machine learning models for business application experience
Experience with neural deep learning methods and machine learning
Experience programming in Java C Python or related language
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Experience working in the interface of Machine Learning and Causal Inference.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/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 an Applied Scientist to join this high impact high visibility team. You will lead the development and expansion of the next generation of the featured offer selection models. These new models will incorporate the continually changing preferences of our customers and continue to scale with numerous new programs that Amazon is introducing for our customers. You will work with multiple Amazon businesses and programs to identify big business opportunities and propose new business features and technical systems to improve customer experience. As a team we own the endtoend life cycle of models estimation simulation and experimentation. We work in the interface of Artificial Intelligence Statistics and Econometrics. Your work will cut across various subdisciplines like Causal Inference Bayesian Modeling Deep Learning Counterfactual Estimation and Evaluation Multiarmed Bandits and Highdimensional Multivariate Experiments. You will be responsible for the quality of the model and will get the opportunity to present your ideas and share results of your deliverables with Amazon executives and Amazon scholars on a regular basis. As a senior scientist you will be collaborating with junior scientists to define and enforce broad companywide technical standards in statistical modeling optimization and simulation techniques.
Why is this a great opportunity
We impact the global Amazon retail business: We are at the center of Amazons retail universe. As a part of the broader Buying Experience org we work closely with other Retail teams like Search Pricing Cart Checkout Delivery Experience Ultra Fast Grocery SubscribenSave etc. We build systems that are used every time a customer sees any item on the Amazon website (globally) and help them in making purchase decisions. As a result we constantly strive to earn and preserve the customer trust. Our impact is typically measured in hundreds of millions of dollars.
We are diverse: Our team is diverse in terms of expertise (SDE/Scientists/Economists/Data Engineer/Product Manager) nationality 10 countries) experience (college graduate to industry veteran) techstacks (AWS Datapath) and office locations (Seattle Bangalore Berlin Vancouver).
We prioritize learning: Work alongside some of Amazons smartest engineers scientists economists and product managers. We have one Principal Economist and two Principal SDE in the team to learn from. We regularly take ML courses and present/teach at internal and external forums. We innovate publish and file patents. We regularly review our models with academics like Michael Jordan Guido Imbens and Alberto Abadie.
We ensure worklife balance: Our teamworks together to provide worklife harmony for all team that the circumstances of our team members vary and webalance work across the team so that we are all able to maintain highstandards on behalf of our customers while at the same time allowingfor rich and happy personal lives.
We have fun: We find ways to relax and unwind with team events and group lunches.
If you are ready to truly make an impact on a product that is used by hundreds of millions of people around the world including your own friends and family then we would love to talk to you.
Key job responsibilities
Influence: Drive the scientific vision of the team. Present ideas to the senior leadership build consensus lead crossorg collaborations and mentor junior engineers and scientists.
: Deliver tactical solutions with strategic thinking to create reusable scientific components resolving immediate challenges while building for future scalability.
Knowledge: Keep abreast of the trends in academia and industry know the stateoftheart. Publish papers and file patents to contribute to the broader scientific community inside and outside the company.
Scientific complexity: Innovate and extend scientific methods to address customers needs or business problems.
Engineering complexity: Partner with engineering to transform complex technical requirements into production solutions while optimizing performance tradeoffs.
Technical judgement: Be a pragmatic problem solver applying judgment and experience to balance the technical tradeoffs and how the applied scientific solution is positioned with respect to the stateoftheart.
PhD or Masters degree and 6 years of applied research experience
3 years of building machine learning models for business application experience
Experience with neural deep learning methods and machine learning
Experience programming in Java C Python or related language
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Experience working in the interface of Machine Learning and Causal Inference.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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