Amazon Sr Mgr Science & Analytics Creators 

United States, Washington, Seattle 

321445131

We’re seeking a customer-obsessed, data driven leader to manage our Science and Analytics teams. You will lead a team of Applied Scientists, Economists, Data Scientists, Business Intelligence Engineers, and Data Engineers to develop innovative solutions that help us address creator needs and make creators more successful on Amazon. You will define the strategic vision for how to make science foundational to everything we do, including leading the development of data models and analysis tools to represent the ground truth about creator measurement and test results to facilitate important business decisions, both off and on Amazon. Domains include creator incrementality, compensation, acquisition, recommendations, life cycle, and content quality. You will work with multiple engineering, software, economics and business teams to specify requirements, define data collection, interpretation strategies, data pipelines and implement data analysis and reporting tools. Your focus will be in optimizing the analysis of test results to enable the efficient growth of the Creator channel.
Key job responsibilities
· Own and prioritize the science and BI roadmaps for the Creator channel, working with our agile developers to size, scope, and weigh the trade-offs across that roadmap and other areas of the business.
· Lead a team of data scientists and engineers skilled at using a variety of techniques including classic analytic techniques as well Data Science and Machine Learning to address hard problems.
· Deeply understand the creator, their needs, the business landscape, and backend technologies.
· Partner with business and engineering stakeholders across multiple teams to gather data/analytics requirements, and provide clear guidance to the team on prioritization and execution.
· Run frequent experiments, in partnership with business stakeholders, to inform our innovation plans.
· Ensure high availability for data infrastructure and high data quality, partnering with upstream teams as required.

Bachelor's degree
Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
Experience building data products

PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
Experience leading cross-functional teams to deliver products and projects on tight deadlines
Ability to establish and manage your business to a set of key metrics and goals
Skilled at communication and data presentation, to both technical and non-technical audiences