The Content Data Engineering and Analytics team is based in the entertainment capital of the world, focused on providing our colleagues rich data, tools, and insights so that we can make decisions on what series and films will bring the most joy to our subscribers. We are part of a larger team that supports Netflix’s data-driven culture across marketing, streaming, product, and finance functions. As Netflix deepens its global reach and develops more and more amazing Originals content, the scope and impact of our team’s work in the content space is exploding.
You are lazy in a productive way (find tedious work boring and would rather automate it).
You are charismatic, tenacious, curious, and industrious, and not just talented.
You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
You have strong beliefs that are weakly held: you can argue, and hear, all sides of a debate and adapt to new perspectives that emerge from it.
You create code that is understandable, simple, and clean, and take pride in its beauty.
You love freedom and hate being micromanaged. Given context, you're capable of self-direction.
You have a high tolerance for ambiguity and fast-changing contexts.
You are motivated to explore new technologies and learn, and can do so without taking formal education.
What do you know? (not a rigid litmus test)
A collection of Big Data tech (S3, Hive, Spark, Elasticsearch,...)
Python-based application development. Experience with its data science libraries is a plus
Virtualized/containerized/distributed computing environments
How to work with analytics practitioners and contexts
Team-based software development tools and best practices
Experience with a JVM-language is a plus
What will you do?
Continually acquire new data sources to develop an increasingly rich dataset that characterizes content. This dataset will be the foundation for many strategic uses cases from multiple teams
Build analytic applications that help Netflix’s content buyers and producers efficiently get great content onto our streaming platform
Develop high-performance predictive modeling pipelines in support of Netflix’s scientists
Build software and social glue between engineers, scientists, product managers, and other analytics teams
Build software and social glue between Netflix’s longstanding technical side and its growing creative side
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