Amazon is seeking a Manager to lead a science team within Customer Forecasting and Valuation (CFV). We own a set of primary decision metrics at Amazon leveraging causal machinelearning models to predict the longterm impact of customer actions. These metrics drive several investment and launch decisions across Amazon. This fastpaced crossdisciplinary team of economists and scientists leverages advanced machine learning statistics and economics to solve complex problems like measuring the longterm causal effects of Amazon initiatives. CFV is part of the Customer Behavior Analytics (CBA) organization which is responsible for developing the architecture design and implementation of tools used to understand customer behavior and value generation across the companys Retail business.
As a manager within CFV you will lead and collaborate with Applied Scientists Economists and Data Scientists to work backwards from customer needs and translate product ideas into concrete deliverables. This will involve inventing scalable causal measurement solutions that provide highly accurate and actionable insights and drive improvement in key customer lifetime value metrics. You will interface directly with product owners senior scientists/economists and business leadership to create multiyear research and product agendas that drive stepchange growth. Working with massive datasets spanning billions of customer transactions you will partner closely with a dedicated engineering team to uncover insights that propel Amazons Retail business forward. The role will also be an important collaborator with other science teams at CBA and Stores.
The ideal candidate will have experience with machine learning models causal inference and a strong background in applied science economics and engineering. You should also possess creativity curiosity and excellent judgment to thrive in an environment of ambiguity. If you are seeking an opportunity to drive innovation solve realworld problems using advanced analytics and grow your career over time this role on Amazons industryleading CBA team may be the perfect fit.
PhD in economics or equivalent 5 years of post PhD experience experience
Experience building and growing teams of economists or machine learning scientists Project management experience for working on crossfunctional projects. Experience with programming languages such as Python Java C Matlab R Stata experience with SQL and / or working in a Unix / Linux environment is a plus. Effective verbal and written communications skills. Strong background in econometrics statistics methodology machine learning applications to business problems and/or big data. Ability to work in a fastpaced business environment.
Amazon 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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