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Key job responsibilities
A day in the life
* Deep dives into vendor segmentation, behavior and satisfaction
* Leverage techniques from econometrics, computer science and statistics to measure vendor experience and its impact on their engagement and economics
* Drive development of tools, reporting improvements, and automation, and create new innovative and insightful reports.
* Support the functional teams with ad hoc data requests and analytical needs. * Partner with other science leaders throughout Amazon to effective solutions.
Milan, MI, ITA
* Degree in Engineering, Finance, Computer Science or a related technical field.
* Minimum of 5 years of relevant experience in advanced data analysis, applied data science or a related field.
* Solid analysis and econometrics skills.
* Solid experience working with large/disparate data sets, and with experimental design using data analysis languages (e.g., SQL, Python, Spark, etc.).
* Phd in econometrics.
* 10 years experience in data analytics.
* Strong organizational and multitasking skills with ability to balance competing priorities.
* Comfort dealing with ambiguity.
* Ability to work effectively within an interdisciplinary science team of economists, applied scientists, software engineers, and data engineers.
* Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to non-technical audience.
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