Senior Data Scientist, MAPLE - Recommender System (ImmediateStart)

Senior Data Scientist, MAPLE - Recommender System Areyou excited by the idea of developing personalized experiences forAmazon customers as they shop? Are you looking for new challengesand to solve hard science problems while applying state-of-the-artrecommendation system modeling techniques? Join us and you'll helpmillions of customers make informed purchase decisions while alsoadvancing the state of Amazon's science by publishing research! Keyjob responsibilities 1. Participate in the design, development,evaluation, deployment and updating of data-driven models forshopping personalization. 2. Develop and test new signals forimproving recommendation models. 3. Use supervised and upliftlearning algorithms to improve customer experience. 4. Design A/Btests and conduct statistical analysis on their results. 5. Workwith distributed machine learning and statistical algorithms toharness enormous volumes of data at scale to serve our customers.6. Work closely with internal stakeholders like the business teams,engineering teams and partner teams and align them with respect toyour focus area. 7. Present and publish science research,contributing to Amazon's science community. 8. Mentor juniorengineers and scientists. About the team Our team's mission is tosurface the right payments-related recommendations to customers atthe right time, helping create a rewarding and successful shoppingexperience for Amazon's customers. Our team's culture is highlycollaborative, with an emphasis on supporting each other andlearning from one another. We dedicate time each week to focus onpersonal development and expanding our knowledge as a team. We alsohighly value having a big impact, both for Amazon's business andfor our customers. BASIC QUALIFICATIONS 1. 5+ years of dataquerying languages (e.g. SQL), scripting languages (e.g. Python) orstatistical/mathematical software (e.g. R, SAS, Matlab, etc.)experience. 2. 5+ years of data scientist experience. 3. Experiencewith statistical models e.g. multinomial logistic regression. 4.Experience developing neural network models. PREFERREDQUALIFICATIONS 1. 2+ years of data visualization using AWSQuickSight, Tableau, R Shiny, etc. experience. 2. Experiencemanaging data pipelines. 3. Experience as a leader and mentor on adata science team. 4. Recommender System experience. Our inclusiveculture empowers Amazonians to deliver the best results for ourcustomers. If you have a disability and need a workplaceaccommodation or adjustment during the application and hiringprocess, including support for the interview or onboarding process,please visit this link for more information. If the country/regionyou’re applying in isn’t listed, please contact your RecruitingPartner. Amazon is committed to a diverse and inclusive workplace.Amazon is an equal opportunity employer and does not discriminateon the basis of race, national origin, gender, gender identity,sexual orientation, protected veteran status, disability, age, orother legally protected status. #J-18808-Ljbffr