Description

Netflix is one of the world's leading entertainment services, with over 300 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.

We are looking for an experienced Data Science leader for the Subscription Revenue Data Science
Team. This team works with product managers, finance teams, and consumer insights to align and
execute our pricing strategy in each country and understand our long-term revenue and growth
trajectory. You will influence one of the most important levers for growth in our company and support
executive leaders in their decision-making.

To be successful in this position, you will need expertise in pricing and growth to understand how
data-driven approaches can effectively influence business decisions. You also need to collaborate
effectively with a cross-functional set of partners to collectively represent our work to decision-makers
and have the technical acumen to mentor and grow top-notch applied individual contributors.

What you will be responsible for:
You will build the vision for science in pricing and forecasting. You understand that mapping our
long-term revenue strategy is a bit of art and a bit of science. You feel responsible for making the
science accurate and actionable, but you have the creativity to try multiple approaches or ask
new questions. You push us to improve state-of-the-art approaches.
You will be the voice of data in decision-making. You will amplify the team's impact and foster
trust in data, scientific estimates, and model-driven outputs from executives and stakeholder
teams.
You build connection points across teams and markets. Growth at Netflix is the result of great
content, great products to help with choosing, and ongoing conversations amongst our
customers. We earn revenue on top of their effort and want to align our approaches across the
business.
You will coach and guide employees through their strengths and opportunities through regular
feedback to ensure that we have top-notch research, actionable learnings, and tools for teams
to leverage.

Who Will be Successful in this Role:
You have demonstrated experience in building, managing, mentoring, and inspiring applied
science teams. You also have a proven track record of using data science, forecasting, and
econometrics to drive impact.
Strong 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 Economics, Computational Social Science, Statistics, Mathematics, or related field, and
industry or academic experience in forecasting, pricing, growth, or other related business fields.
High-energy self-starter with a passion for business impact through data science, tolerance for
ambiguity in a fast-paced setting, and a positive attitude.

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.