Netflix
Data Science Manager, Subscription Revenue
Netflix, Los Gatos, California, United States, 95032
Data Science Manager, Subscription Revenue
Join to apply for the
Data Science Manager, Subscription Revenue
role at
Netflix Data Science Manager, Subscription Revenue
1 day ago Be among the first 25 applicants Join to apply for the
Data Science Manager, Subscription Revenue
role at
Netflix 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.
To learn more about Netflix research, check out the Netflix Research website.
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 Benefitshere.
Netflix has a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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. Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Other Industries Entertainment Providers Referrals increase your chances of interviewing at Netflix by 2x Sign in to set job alerts for “Data Science Manager” roles.
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Join to apply for the
Data Science Manager, Subscription Revenue
role at
Netflix Data Science Manager, Subscription Revenue
1 day ago Be among the first 25 applicants Join to apply for the
Data Science Manager, Subscription Revenue
role at
Netflix 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.
To learn more about Netflix research, check out the Netflix Research website.
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 Benefitshere.
Netflix has a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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. Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Other Industries Entertainment Providers Referrals increase your chances of interviewing at Netflix by 2x Sign in to set job alerts for “Data Science Manager” roles.
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Menlo Park, CA $177,000.00-$251,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr