At Netflix, we are always on our way to bringing even more joy to members around the world. Within Product, we have a very high velocity in innovations in the core member experience and 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 interactions by surfacing insights, and identifying, incubating & enabling product innovations leveraging data, analytics, experimentation & modeling.

We are looking for a data science leader to join our group to lead a sub-team focusing on consumer algorithm innovations. You will support a team of talented data scientists, work closely with our engineering partners and product leaders, and co-drive algorithmic innovations that power our member product interactions.

What we are looking for:

• You have a deep technical background in applied data science, spanning some or all of: Statistics, Experimentation, Machine Learning, Causal Methods, and Behavioral Analytics.
• You likely have a M.S. or Ph.D. in a quantitative field such as Mathematics, Computer Science, Statistics, Artificial Intelligence, Machine Learning, Physics, Operations Research, etc.
• You have experience and demonstrated success in leading and building high-caliber, data-focused teams with diverse technical strengths.
• You are impact-driven and demonstrated success influencing the business by establishing roadmaps and vision for new and existing areas. 
• You are skilled at operating in a complex, cross-functional organization or company where collaboration and integration with other teams across multiple disciplines are essential to the success of your team.
• You have exceptional communication skills, especially when partnering with engineering & business stakeholders to drive impact and shape strategy. 

Netflix culture 

Netflix'sculture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.