Data Scientist (L5) – Member Product
At Netflix, we seek to entertain the world. We have more than 200 million members in 190 countries, reflecting that great stories can come from anywhere and be loved everywhere. Within Product, we have a very high velocity in innovations in the member experience. We never stop challenging ourselves and are constantly thinking about connecting with our members in new ways or even in new domains!
Member Product DSE is at the forefront of these innovations with a mission to relentlessly improve Netflix member experience within our streaming and new verticals services across TV, Mobile & Web by surfacing insights. The team collaborates extensively with Product and Engineering teams to identify, incubate and enable product innovations leveraging robust measurement techniques (analytics, experimentation, modeling) and scalable tooling.
As a Data Scientist, you’ll be at the forefront of product innovation. You’ll work with other data scientists, data and analytics engineers, and business teams to drive product vision and advance measurement strategy through new metrics, methodological approaches, and deep dive analyses.
Visit our culture deck and our Research page to learn about what it’s like to work on Analytics at Netflix.
At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. The overall market range for this role is typically $150,000 – $750,000. This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.