About The Position
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. In Nov 2022, we launched a new lower-priced, ad-supported tier for our customers. We are now continuing to build on our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. That said, we are looking for the founding members of this new business area for Netflix! The Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. You’ll work closely with partner teams to build workflows, provide recommendations and drive success on end-to-end analytics initiatives in this 0 -1 space. We are seeking a Data Scientist Manager who can help with foundational problems like Experimentation and Valuation in the ads space. This is an opportunity to partner with a diverse range of cross-functional business partners to uncover new opportunities, design, execute, and analyze experiments, and deliver solutions that have a significant business impact and implications for our users. Experimentation techniques are crucial to the long-term success of our ads business, and you will be a key contributor driving this area for Netflix. You will help drive innovations through effective identification and application of analytics, causal inference, and experimentation. This is a high-impact role in which you will have direct influence on how product decisions are made.
Requirements
- You have demonstrated experience in building, managing, mentoring, and inspiring data science teams (3+ years). You also have a proven track record leveraging experimentation/causal inference in spaces where network effect is present to enable decision making and drive impact (7+ years).
- 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 experience in experimentation/inference in advertising.
- 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.
Responsibilities
- You will build the vision for decision science in our ads organization. You feel responsible for making the science accurate and actionable, but you have the creativity to try multiple approaches or ask new questions. Experimentation in ads marketplaces can be complex and nuanced; you will be expected to 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 will build connection points across teams and disciplines and your team will be seen as enablers of data driven decision making.
- 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.
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
