Senior Quantitative Researcher, Ads

Location: Los Gatos, CA or New York, NY

Netflix is one of the world's leading streaming entertainment services, with over 238 million members in over 190 countries enjoying TV series, documentaries, feature films, and mobile games across various genres and languages. Members can play, pause and resume watching as they want, anytime, anywhere, and change their plans anytime.

In Nov 2022, we launched a new lower-priced, ad-supported tier for our customers. We continue to build on our goal of providing more choices for consumers and a premium, better-than-linear TV brand experience for advertisers.

The Ads Consumer Insights team is part of our broader Data & Insights organization. We work cross-functionally with partners in Data Science, Design, Engineering, Product, Finance, and Ad Sales to optimize user acquisition and influence the long-term strategy for the ads experience on Netflix.

The mission of the Ads Consumer Insights team is to deeply understand the needs of the members and advertisers to enhance the member experience, improve the business and inspire future innovation in this fast-moving space. We seek a Senior Quantitative Researcher who will design, execute and socialize research that generates insights to inform our ads consumer product, and platform product strategies. This is a high-impact role in which you will directly influence product decisions.

In this role, you will:

• Triangulate and synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact.
• Execute and present strong research and insights, disseminate knowledge and get others behind their ideas, and foster an open environment of collaboration and intellectual curiosity to inform our ads consumer product and ads platform product strategies.
• Boldly bring the user's voice into the room in a way that directly and immediately impacts the business, even when your points are controversial, because bringing edgy and controversial perspectives does not intimidate you.
• Proactively partner with other researchers and cross-functional partners, including Product, Data Science, Finance, Content, Marketing, and Brand, to develop new research initiatives.

About you:

• Experience with Ad product development/UX research
• Experience in a culture that utilizes big data and AB testing is a plus
• A phenomenal communicator with a bias toward action and an excellent collaborator, able to build strong relationships within your team and with multiple teams across the company
• Ability to synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact)
• Experience with longitudinal analysis, multilevel/mixed effects modeling, and survey weighting is a plus. Strong SQL and Quantitative Programming skills in Python or R are a plus.
• Self-starter and problem solver who proactively partners with other CI researchers and cross-functional partners, including Product, Data Science, Finance, Product Marketing, Content, Sales, Marketing, Comms, and Brand, to develop new research initiatives
• Experience with a wide range of quantitative research approaches and methods (including Psychophysiology, Eye-tracking, Implicit measures (like timed tasks), experimental studies (lab and surveys), and different kinds of surveys (e.g., longitudinal, tracking, rapid feedback, etc.), and comfort with advanced data techniques (Max Diff, Conjoint, Segmentations, Drivers Analysis)
• Comfort working in ambiguity and on nascent business areas
• 7+ years of demonstrable experience in quantitative research and product user experience (UX) research, leading end-to-end quantitative research studies; an advanced degree in Statistics, Mathematics, or Economics is a plus but not required
• Strong storytelling skills with experience turning data into actionable insights and socializing across different departments (from ad sales executives to data scientists to high-level executives)
• Knowledgeable of relevant statistical concepts (significance testing, regression/linear models).
• An analytical mindset; you love digging into the data (including survey data, public “big data” repositories, and internal logged data) for hidden connections and patterns and know how to balance analytical rigor with pragmatism and actionability
• Knows how to 'right size' research approach, i.e., when to deploy tried and tested tools and when to try something new
• A constant learner who actively looks to keep a pulse on new ways of approaching problems
• Ability to use behavioral data to target or append afterward to understand self-reports better; Experience working with data scientists and analytic engineers preferred.
• 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 personal top 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 $110,000 - $440,000.

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.