Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
The Role
Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time
The Role
Netflix’s Growth and Commerce Organization is responsible for the business relationship that consumers have with Netflix- including what plans we offer and at what price, how consumers pay for Netflix, and the flows that allow them to sign up, change plans, or cancel Netflix. 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 Netflix’s 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.
What you'll do
We’re 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. You will lead, mentor, and inspire a team of data scientists and analytics engineers to consistently deliver business impact. You'll partner with teams that define consumer experiences before someone is logged in to set business strategy, support long-term technical vision, and drive influence. You'll keep an eye toward scaling analytics, access to insights, innovating on methodologies, and finding new opportunities to apply high-impact science and analytics to Netflix challenges.
About you
Demonstrated success in designing and delivering data science and analytics projects within highly ambiguous and complex business environments
Master’s 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
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $360,000 - $920,000.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.
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