Senior UX Designer, AI

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

• PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)

Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contributes to customer loyalty and lifetime value. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of videos. The Prime Video Pricing and Analytics team is looking for an Economist Intern to join our fast-paced environment help shape strategic projects for digital video rentals and purchases.
As an economist intern focusing on Prime Video, you will be responsible for understanding the value that the business creates for our customers and to develop new, disruptive innovations to grow global Prime Video usage and customer value. This role requires an individual with strong quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and experimental design methods to large amount of individual level data. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. This role will sit with a growing science and analytics team in Prime Video and collaborate with senior Economists and Data Scientists to drive insights and cutting edge innovation in on demand video services.

• Strong background in statistics methodology, applications to business problems, and/or big data.
• Ability to bring structure to broad sets of inputs, and drive to pragmatic business applications
• Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets.
• Ability to work in a fast-paced business environment.
• Strong research track record.
• Effective verbal and written communications skills.
• Knowledge of econometrics
• Familiarity with Stata/Python
• Attention to Detail