Amazon
Senior Applied Scientist, Featured Merchant Algorithm (FMA)
Amazon - Bellevue, Washington, us, 98009
Work at Amazon
Overview
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Overview
Senior Applied Scientist, Featured Merchant Algorithm (FMA)
Job ID: 2641860 | Amazon.com Services LLC Are you excited by the idea of creating the world's best shopping product and offer evaluation experience? Can you imagine saving millions of shoppers' time worldwide by presenting them with intuitive shopping experience and attractive offers on one of the most visited e-commerce sites? Are you looking forward to solving challenging problems that blend business, scientific, and engineering disciplines? We work with multi-billion product selection and typically measure our impact in $'00 millions. Join us, be part of the shopping revolution, and make history!
Key job responsibilities
Utilize artificial intelligence, statistics, econometrics, and creative problem-solving skills to improve one of the most significant ecommerce algorithms that impacts millions of shoppers and sellers in the planet. Partner closely with engineers to put your research and ideas into production on Amazon.com. Leverage your science expertise to research and deliver novel solutions to explore emerging problem spaces, and create or organize knowledge around them. Publish papers and file patents to contribute to the machine learning community. Present ideas to senior leadership (Sr. Managers and above) and mentor Applied Scientists and Engineers with an interest in artificial intelligence. Provide scientific consultation and influence teams beyond your immediate group, such as, Personalization, Media content teams, and Ads.
About the team
The Featured Merchant Algorithm (FMA) vision is to provide the world’s best offer evaluation experience, ensuring that Amazon customers see the best and most relevant offers – regardless of seller, brand, store, fulfillment channel, or shopping format – for any item at any point in the shopping journey. As the global authority of offer recommendation, we strive to reduce cognitive load of shoppers and drive competition across programs/offers. We are a team of Scientists, Economists, Engineers, and Designers working together to realize this mission. We operate in a diverse space that includes modeling of customer purchase behavior, advanced simulation, experimentation, evaluation, and compliance. We employ a variety of ML, statistics, reasoning, and econometric techniques.
BASIC QUALIFICATIONS
3+ years of building machine learning models for business application experience. PhD, or Master's degree and 6+ years of applied research experience. Experience programming in Java, C++, Python or related language.
PREFERRED QUALIFICATIONS
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Experience in applied research.
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Job ID: 2641860 | Amazon.com Services LLC Are you excited by the idea of creating the world's best shopping product and offer evaluation experience? Can you imagine saving millions of shoppers' time worldwide by presenting them with intuitive shopping experience and attractive offers on one of the most visited e-commerce sites? Are you looking forward to solving challenging problems that blend business, scientific, and engineering disciplines? We work with multi-billion product selection and typically measure our impact in $'00 millions. Join us, be part of the shopping revolution, and make history!
Key job responsibilities
Utilize artificial intelligence, statistics, econometrics, and creative problem-solving skills to improve one of the most significant ecommerce algorithms that impacts millions of shoppers and sellers in the planet. Partner closely with engineers to put your research and ideas into production on Amazon.com. Leverage your science expertise to research and deliver novel solutions to explore emerging problem spaces, and create or organize knowledge around them. Publish papers and file patents to contribute to the machine learning community. Present ideas to senior leadership (Sr. Managers and above) and mentor Applied Scientists and Engineers with an interest in artificial intelligence. Provide scientific consultation and influence teams beyond your immediate group, such as, Personalization, Media content teams, and Ads.
About the team
The Featured Merchant Algorithm (FMA) vision is to provide the world’s best offer evaluation experience, ensuring that Amazon customers see the best and most relevant offers – regardless of seller, brand, store, fulfillment channel, or shopping format – for any item at any point in the shopping journey. As the global authority of offer recommendation, we strive to reduce cognitive load of shoppers and drive competition across programs/offers. We are a team of Scientists, Economists, Engineers, and Designers working together to realize this mission. We operate in a diverse space that includes modeling of customer purchase behavior, advanced simulation, experimentation, evaluation, and compliance. We employ a variety of ML, statistics, reasoning, and econometric techniques.
BASIC QUALIFICATIONS
3+ years of building machine learning models for business application experience. PhD, or Master's degree and 6+ years of applied research experience. Experience programming in Java, C++, Python or related language.
PREFERRED QUALIFICATIONS
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Experience in applied research.
#J-18808-Ljbffr