Remote Job Description

With nearly 200 million members in over 190 countries and a billion hours of streaming each month, Netflix is the world’s leading online entertainment company. 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 Content Demand Modeling team, within Data Science & Engineering, plays a central role in informing and supporting content decisions. Arming our creative teams with data-driven insights improves both the efficiency and accuracy of decision-making and helps Netflix produce more hits and create more member joy at better economics. 

We are looking for an exceptional machine learning leader to manage a team of stunning machine learning scientists and engineers that own and innovate upon a suite of high-visibility ML models. These models offer key content metric predictions at all stages in a title’s lifecycle and are leveraged by a broad set of stakeholders across the company to inform a variety of content decisions from planning our slate to production execution to post-launch evaluation and renewals.

Responsibilities

  • Lead a team of applied machine learning scientists and provide technical guidance and mentorship to members of the team.
  • Drive the vision and shape the roadmap of content prediction models, thoughtfully balancing the needs of multiple business stakeholder teams.
  • Amplify the impact of the team and foster trust in model-driven outputs from content strategy & creative stakeholder teams. 
  • Understand and work backwards from the needs, workflows, and decision points of content creators in shaping the team’s roadmap and outputs. 
  • Be a strategic thought partner for the Content, Strategy & Analysis teams, in identifying opportunities for impact from content prediction models.
  • Manage high-quality and robust production-level machine learning models in a rapidly evolving business environment.
  • Collaborate effectively and influence roadmaps of partner data science & engineering teams.
  • Enact Netflix values in daily work and interactions.

Who Will be Successful in this Role

  • In order to be successful in this position, you will need 1) business acumen to understand how data-driven approaches can effectively influence creative decisions (effective bridges between art & science), 2) to collaborate effectively with a broad and complex set of partners and stakeholders across the company and 3) technical acumen to mentor and grow top-notch applied ML individual contributors.

Specific qualifications include:

  • Demonstrated experience in building, managing, mentoring, and inspiring applied science teams, with a proven track record of leveraging machine learning to drive impact.
  • Exceptional interpersonal and communication skills, including proven ability to effectively collaborate with a variety of technical and non-technical  business partners and other data science leaders. 
  • PhD in Statistics, Computer Science, Machine Learning, Mathematics, or related field.
  • Experience in developing, prototyping, and deploying machine learning models.
  • High-energy self-starter with a passion for business impact through data science (especially machine learning), tolerance for ambiguity in a fast-paced setting, and a positive attitude.