Senior Machine Learning Data Scientist - Creative Excellence and Valuation Dse

Job Description

Netflix is revolutionizing the entertainment industry with world-class technology. We are both a content distributor and a producer for original and premium shows. We serve millions of subscribers in more than 190 countries around the world. We produce hundreds of new series, movies, documentaries, stand-up specials, and content across various other categories each year. Because of our global footprint, we are able to elevate new types of creators, tell a diverse set of stories and inspire a global audience.

The Creative Excellence and Valuation team, within Data Science and Engineering, consists of a mix of analytical engineers and data scientists. Our team focuses on research to improve our measurement and knowledge of how titles perform both from an economic view and how much joy it brought our members. We research and model important features of how our members consume our content and work directly with the content and creative teams to improve our titles even before they launch.

We would like to bring on board a machine learning data scientist with strong engineering skills. As a member of this team, you will conduct applied research by investigating, conceptualizing, designing, implementing and validating new algorithms in the area of content performance and creative excellence. You will also contribute to the development of shared ML infrastructure that allows the team to more effectively scale impact.

Questions You Will Help Answer
• What are the important aspects of how our members consume our content?
• Can we predict consumer need states for a creatively excellent show?

Responsibilities
• End-to-end development of machine learning models that will have a high impact on our decision-making. Build and maintain production machine learning models.
• Be entrepreneurial and collaborate with business partners to identify potential high-value applications of machine learning technology to our domain.
• Communicate results to a variety of audiences, technical and non-technical.
• Independently deliver effective solutions to problems.
• Own full-stack technology, from data to product and the feedback loop.
• Enact Netflix values in daily work and interactions.

About You
• At least four years of applied ML experience with a successful track record of delivering quality results.
• Solid experience in building production machine learning systems.
• Excellent communication skills and an ability to translate business context and intuition into data-oriented hypotheses to drive impact.Experience building robust ML infrastructure, applying engineering best practices.
• Strong coding experience. Experience with open-source ML packages (specifically sklearn, TensorFlow/Keras/PyTorch).
• Passion for and an appreciation of the creative and entertainment industry is definitely a plus.

Jobcode: Reference SBJ-d85kox-18-189-2-122-42 in your application.