Data Scientist - Experimentation and Causal Inference

Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems. Lead the design, analysis, and interpretation of experiments. Proactively perform data exploration on engagement behaviors to discover future opportunities. Identify, compute and validate the appropriate metrics to measure success in a product area. Cultivate strong partnership with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc. Present your research and insights to all levels of the company. As a Data Scientist, you will be partnering with a diverse range of cross-functional business partners to uncover new opportunities, design, execute, and analyze experiments, and deliver solutions that have significant business impact and implications for our users.

According to JobzMall, the average salary range for a Data Scientist - Experimentation and Causal Inference in 100 Winchester Cir, Los Gatos, CA 95032, USA is $120,000 - $150,000 per year.

Netflix, Inc. operates as an Internet subscription service company, which provides subscription service streaming movies and TV episodes over the Internet and sending DVDs by mail. The company operates its business through the following segments: Domestic streaming, International streaming and Domestic DVD. Netflix obtains content from various studios and other content providers through fixed-fee licenses, revenue sharing agreements and direct purchases. It markets its service through various channels, including online advertising, broad-based media, such as television and radio, as well as various partnerships.