OverviewDescrizione dell’offerta di lavoroJob ID : | Amazon Digital UK LimitedAre you excited about using econometrics and statistics to impact real-world business decisions? We are looking for an Economist to build innovative solutions based on econometrics, experimentation, and machine learning helping us to answer challenging and impactful business problems for Prime Video with ads.If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.Key job responsibilitiesLeverage causal inference methods to estimate the impact of large-scale investments ex postDevelop advanced structural demand and econometric frameworks for products and servicesCollaborate with other scientists at Amazon to deliver measurable progress and changeInfluence business leaders based on empirical findingsA day in the lifeYou will work as an individual contributor working on a mix of complex strategic, long-term research as well as tactical analytical projects. You will write technical as well as business-facing docs and present your work to business leaders and the science community.About the teamThe Entertainment Economics team consists of PhD-trained structural and causal-inference Economists, data scientists, and data engineers. We are an high-impact team driving decision-making in areas including Prime Video Ads, Music, and marketing measurement.Basic QualificationsPhD in Economics or a related fieldStrong proficiency in at least one of the following statistical software packages : Python, R, Stata, or MatlabPreferred QualificationsProven track record in research and solution of business problems leveraging techniques from economics or related disciplines.Strong writing skillsAdvanced coding ability in a scripting language such as STATA, R, and / or PythonDemonstrable experience in any of the following areas of applied economics (multiple areas preferred) : reduced-form causal analysis, predictive modeling and causal ML algorithms, forecasting, hazard models, labor economics, health and insurance economics, education economics, behavioral economics, designing and administering large-scale social science surveys.Equal Opportunity and PrivacyAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and