Amazon Cross-Channel Measurement and Optimization team is looking for a Senior Manager of Economics to join our team to lead the development of causal inference methods for marketing measurement and optimization. You will have access to a unique cross-channel data assets spanning multiple countries. You will lead the efforts to generate analytic insights and help Amazon build and maintain leadership position in the cross-channel marketing measurement and optimization space.
What you will own: You will develop and own the long term analytic strategy to measure advertising dollars spent by Amazon across the globe. You will lead the evolution of econometric models, marketing mix models and attribution systems built to assess the performance of marketing across various media channels and consumer touchpoints for different Amazon businesses including Prime, Devices, Video and Retail.
What you will influence: You will provide structure around complex marketing decision problems and influence decisions on marketing budgets allocations. You will share ownership of the long-term vision of the global marketing measurement team and engage with leaders across Amazon to drive this vision. You will also influence researchers working on statistical inference problems across Amazon.
We are looking for someone with proven expertise in causal inference, strong skills in applied econometric methods, econometric programming or machine learning along with an interest in applying sound scientific methodologies and best practices to e-commerce, marketing, consumer behavior analytics, etc.
You should have high attention to detail, be able to deal with ambiguity, move fast but without compromising analytical rigor, be aware of your limits but are constantly learning and pushing these, and are interested in generating high business impact by solving hard technical problems and the econometrics and machine learning space.
Specific responsibilities include:
Develop long-term analytical strategy and drive implementation.
Lead the development of econometric models to retrospectively measure the financial impact of cross-channel advertising spend.
Set and maintain a high bar for the writing and publishing industry and scientific articles.
Partner with machine learning (ML) teams across the organization to provide the structure for econometric model development and validation to support AI driven approaches for measuring and optimizing marketing spend.
Work closely with business units to formulate measurement problems and solutions and drive systematic model-driven decision-making on a day to day basis.
Contribute to growing the data science team and mentor team members for career growth.