Data Scientist - Ads

Job Description

Data Scientist (L6) - Ads

At Netflix, we seek to entertain the world. We have more than 200 million members in 190 countries, reflecting that great stories can come from anywhere and be loved everywhere.

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 Staff Data Scientist 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 leader driving this area for Netflix.

You will help drive innovations through effective identification and application of analytics, causal inference, experimentation and machine learning. This is a high-impact role in which you will have direct influence on how product decisions are made.

In this role, you will:
• Lead the area of Experimentation for Ads Platform, and autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation
• Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.
• Execute and present strong research and insights, disseminate knowledge and get others behind their ideas, and foster an open environment of collaboration, innovation, and intellectual excitement.
• Deliver technically excellent solutions using modeling and ML, data exploration and strong documentation with an eye toward impact and contribution to the larger DSE community.
• Be a thought leader for Product, Strategy and Engineering teams in the areas of Experimentation for Ads.

We are looking for:
• Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field
• Leadership (staff level) experience with large-scale data with proven ability to lead cross-functionally, work independently and galvanize others
• Strong statistical knowledge and intuition - having utilized in experimentation or other product analytics settings
• Strong product knowledge and intuition - having utilized in consumer/user interface settings or internally serving technical audiences such as engineers.
• Demonstrated ability to communicate and drive product change across a variety of stakeholders
• Strong SQL skills and Quantitative Programming skills in Python or R
• Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.
• Mentors, brainstorms with, and enables others, especially within your functional area
• Actively builds and fosters technical communities internally (e.g., horizontal forums, seminars, and summits) and externally (e.g., conference participation)
• Exemplary stewardship of Netflix's culture and values, particularly in terms of selflessness and ensuring open debate of ideas and encouraging the inclusion of a variety of perspectives regardless of seniority

At Netflix, we carefully consider a wide range of compensation factors to determine your persona ltop of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.

The overall market range for roles in this area of Netflix is typically $390,000 - $900,000.

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.

Jobcode: Reference SBJ-r75v2p-18-119-123-76-42 in your application.