Salary
💰 $150,000 - $750,000 per year
About the role
- Build models to predict the performance of promotional assets
- Quantify the revenue impact from driving member engagement
- Execute and analyze experiments to identify key drivers of positive member outcomes
- Develop innovative statistical and machine learning methodologies
- Partner with cross-functional business partners to uncover new opportunities
Requirements
- Ph.D. degree (preferred) in a quantitative or computational field
- 3+ years work experience in relevant data science roles
- Expertise in statistical methods, regression analysis, forecasting, causal inference, experimentation
- Knowledge and experience in supervised and unsupervised machine learning
- Experience with time-series forecasting and/or financial modeling a plus
- Highly proficient programming in SQL and Python / R
- Comfortable in ambiguous problem spaces; ability to own and drive projects with minimal oversight
- Exceptional written and oral communication with technical and non-technical audiences
- Inclusion is a Netflix value
- Meaningful interview experience
- Equal-opportunity employer
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical methodsregression analysisforecastingcausal inferenceexperimentationsupervised machine learningunsupervised machine learningtime-series forecastingfinancial modelingprogramming in SQL
Soft skills
problem-solvingproject ownershipcommunication
Certifications
Ph.D. degree