Data Science Manager - Acquisition and Partnerships
Description:
Netflix is one of the worlds leading entertainment services with 278 million paid memberships in over 190 countries
This role focuses on our consumer acquisition strategy and how consumers experience Netflix before they enter the app
This includes our signup flow where we sell Netflix to consumers, how consumers log-in to Netflix, and how we partner and bundle with other companies
Our Data Science team helps scale data driven decision making in these areas
We deep dive to identify opportunity areas and inform Netflixs strategy, run AB tests or utilize other causal inference techniques to understand the impact of new experiences and build machine learning to scale rapid innovation in these areas
Were looking for an accomplished data science and analytics leader to lead a diverse team of talented, individual contributors who are experts in the fields of analytics, experimentation, and machine learning
Requirements:
Demonstrated success in designing and delivering data science and analytics projects within highly ambiguous and complex business environments
Masters or PhD degree in Statistics, Machine Learning, Computer Science, Economics, Engineering or other relevant fields
Experience hiring and leading high-caliber, data-focused teams with varying technical strengths across analytics, experimentation, and machine learning
Tenacious and flexible and can effectively organize and lead cross-functional projects, overcome challenges, and propose new solutions
Strength in independently finding opportunities and executing on science and analytics challenges for maximum business impact
Exceptional verbal and written communication skills with a wide variety of technical and business stakeholders
Benefits:
Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
35 days annually for paid time off for full-time hourly employees
Apply Now
Netflix is one of the worlds leading entertainment services with 278 million paid memberships in over 190 countries
This role focuses on our consumer acquisition strategy and how consumers experience Netflix before they enter the app
This includes our signup flow where we sell Netflix to consumers, how consumers log-in to Netflix, and how we partner and bundle with other companies
Our Data Science team helps scale data driven decision making in these areas
We deep dive to identify opportunity areas and inform Netflixs strategy, run AB tests or utilize other causal inference techniques to understand the impact of new experiences and build machine learning to scale rapid innovation in these areas
Were looking for an accomplished data science and analytics leader to lead a diverse team of talented, individual contributors who are experts in the fields of analytics, experimentation, and machine learning
Requirements:
Demonstrated success in designing and delivering data science and analytics projects within highly ambiguous and complex business environments
Masters or PhD degree in Statistics, Machine Learning, Computer Science, Economics, Engineering or other relevant fields
Experience hiring and leading high-caliber, data-focused teams with varying technical strengths across analytics, experimentation, and machine learning
Tenacious and flexible and can effectively organize and lead cross-functional projects, overcome challenges, and propose new solutions
Strength in independently finding opportunities and executing on science and analytics challenges for maximum business impact
Exceptional verbal and written communication skills with a wide variety of technical and business stakeholders
Benefits:
Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
35 days annually for paid time off for full-time hourly employees
Apply Now