Jobs in Mannheim, Germany

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.

• 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.

• 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.