What you will do:

• Collaborate closely with stakeholders in Product Discovery & Promotion to learn deeply about content merchandising and identify potentially impactful problems to solve via scalable data science solutions.
• Develop innovative analyses that empower decision-making for stakeholders and product features that can deliver member joy by leveraging a wide variety of engagement data on our service and metadata about our content.
• Collaborate with team members and cross-functional partners to develop machine learning models and integrate them seamlessly into operational workflows.
• Serve as a key thought partner for stakeholders, cross-functional partners, and our diverse set of team members regarding data science methods.

Your background and characteristics:

• Ph.D. or MS degree in a quantitative or computational field.
• 4+ years of full-time work experience in one or more relevant data science roles.
• Expertise in statistical analysis methods, most notably regression analysis, forecasting, causal inference, and experimentation methods.
• Practical experience in supervised and unsupervised machine learning methods.
• Proficiency in SQL and programming in Python or R.
• Comfortable and effective in ambiguous problem spaces; ability to own and drive projects with minimal oversight and process.
• Exceptional written and oral communication with technical and non-technical audiences.
• Enthusiasm about and compatibility with Netflix culture.