Data Scientist (L6) - Product

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Member Engagement and Experience Data Science and Engineering team is at the forefront of driving innovations in Netflix’s core product experience within our streaming and new business domains through data. The team collaborates extensively with Product and Engineering teams to identify, incubate and enable product innovations leveraging robust measurement techniques (analytics, experimentation, causal inference, modeling) and scalable tooling. 

As an L6 Data Scientist, you’ll be at the exciting intersection of Netflix’s core member experience and the growing areas of Live, Games, and Ads. You will shape our strategy for attributing and valuing impressions in the Product, informing longer-term business and technical strategy for member-facing innovation.

In this role, you will:

• Shape the development of a model to better quantify the business value of an impression, to inform robust tradeoffs across lines of business inquiry

• Connect the dots across business areas and inform how we create an optimal member experience

• Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making.

• Act as a mentor to a stunning team of data scientists and analytics engineers

• Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs that influence the decisions and direction of member experience 

To be successful in this role, you have:

• Exceptional systems thinking, with the ability to understand complex interdependencies across business areas and their impact on the member experience

• Strong thought partnership, adept at building trust and credibility with stakeholders by demonstrating clarity, sound judgment, and a member-centric perspective

• Outstanding communication skills, capable of bridging technical and non-technical audiences and influencing partners with clear insights, data-driven recommendations, and compelling narratives

• Experience with algorithms as a product, including practical applications like recommendation systems, ranking algorithms, or personalization strategies

• Exceptional depth in causal inference and machine learning

• Proactive and self-directed problem-solving, with the ability to independently drive projects from ideation to execution

• Mentorship and leadership skills, fostering growth and accountability within a team while ensuring the delivery of high-quality, trustworthy outputs

Our compensation structure consists solely of an annual salary; we do not have bonuses. You …