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1 week ago(09/07/2018 13:49)
Amazon Instant Video Limited
Amazon is seeking an outstanding Data Scientist to uncover key insights on how customers engage with Prime Video. As consumers increasingly consume digital video, we need to make agile decisions based on what content appeals most to our customers.
You will have the following responsibilities within the scope of our global Prime Video business:
- Support the analytical needs of the content acquisition management (CAM) team inclusive of statistical inferences, demand modelling, feature engineering and the bespoke evaluation of content licensing deals - Maintain and improve on our predictive models for gauging global video content demand - Collaborate with CAM to develop clear business strategy and measurement objectives - Create new metrics and KPIs that effectively guide the business and deploy effective dashboards to surface them to senior leadership - Ensure that the quality and timeliness of analytic deliverables meet CAM expectations - Develop and present papers with insights and recommendations to senior audiences - Provide informal direction and guidance to more junior members of staff on all aspects of analytics from business context and prioritization to technical coaching
- Master's degree in machine learning, operational research, computer science, statistics, applied mathematics or a related field; or equivalent experience - Professional work experience in data science, business intelligence or analytics - Proven experience and fluency with SQL and at least one major data science and statistics language (e.g. python, R, SAS) - Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques - Business intelligence experience working with data warehouse solutions and very large data sets - Previous experience with reporting and visualization using Shiny, Tableau or other similar data visualization and reporting packages
- PhD in a quantitative field such as machine learning, computer science, economics, mathematics or statistics - Excellent verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams - Proven ability to work effectively in a cross-functional, fast paced environment - Proven ability to understand and communicate issues at multiple levels, from validating and correcting junior staff detailed work to explaining the implications of analysis results to executives