Amazons Customer Behavior Analytics org is looking for an Senior Manager Applied Science to spearhead the rapid growth of our Marketing Measurement solutions. The team focuses on building scalable ML and causal inference solutions to estimate the effectiveness of Amazon marketing efforts and provide actionable insights to the various marketing teams within Amazon. This is a high-impact role with opportunities to develop systems that affect investments to the size of billions of dollars. We work closely with business stakeholders and strive to continuously produce tangible impact on the companys strategic and tactical planning and operations.
A successful candidate will be a self-starter comfortable with ambiguity able to think big and be creative while still paying careful attention to detail. You should be able to translate complex business problems into scientific challenge and deliver data driven solutions - which will allow Amazon to make key investment should be able to translate how data represents the customer journey be comfortable dealing with large and complex data sets and have experience using machine/deep learning at scale. You should have strong analytical and communication skills be able to work with stakeholders and partners which include world-wide business leaders distinguished scientist economist product managers and software teams. You will apply your expertise in Economics ML/DL statistics and data-wrangling to identify opportunities for further research and to provide insights that drive larger initiatives. You will join a highly collaborative and diverse working environment that will empower you to shape the future of Amazon marketing as well allow you to be part of the large science community within the Customer Behavior Analytics (CBA) organization.
About the team The Customer Behavior Analytics (CBA) organization owns Amazons insights pipeline from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our outputs shape Amazon product and marketing teams decisions and thus how Amazon customers see use and value their experience.
- PhD in economics or equivalent - Experience with at least one of the following: Matlab R Python Stata - Experience manipulating large sets of data summarizing into metrics and conducting appropriate statistical tests (e.g. regression t-test chi-square)
- Experience in applied economic analysis and with big data and machine learning or data science - Experience building and growing teams of economists or machine learning scientists
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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