Senior Quantitive Researcher - Ads Experiences

Netflix Netflix · Big Tech · United States · Remote · Data & Insights

Senior Quantitative Researcher at Netflix focusing on Ads Experiences. This role involves leading and executing quantitative research to inform product and business strategy within the advertising domain. The researcher will partner with cross-functional teams, engage with members and advertisers, and translate findings into actionable recommendations. The role requires expertise in survey methodologies, statistical analysis, and programming languages like R or Python, with a focus on driving impact in a zero-to-one initiative.

What you'd actually do

  1. Partner with cross-functional teams and fellow researchers (including Business Stakeholders, Design, Product Management, Engineers, and Data Scientists) to develop, lead, execute, and socialize a roadmap of high-impact research initiatives (both fast-moving product research and long-term strategic business research).
  2. Have the interest and motivation to get deep into the technical product and business needs that are part of Netflix's advertising world and also connect with multiple other parts of Netflix, such as the Member Experience, Content, Commerce, etc.
  3. Have the ability to respond to changing needs across the business and organizations to identify and prioritize impactful opportunities in an environment where balancing depth with velocity is paramount.
  4. Engage with Netflix members and advertisers in research worldwide to uncover pain points and unmet needs and translate them into actionable business recommendations.
  5. Thoughtfully evangelize the role of research and scale practice in environments where a research culture/infrastructure does not exist, is nascent, or is competing with other priorities within the product and business development process.

Skills

Required

  • Demonstrable experience in product research and/or user experience (UX) research
  • hands-on experience leading end-to-end quantitative research studies that inform business and product strategy
  • Expertise in large-scale survey methodologies and complex survey analysis modeling (like SEM, forced-choice modeling, longitudinal surveying, and A/B surveys)
  • Knowledge of relevant statistical concepts such as hypothesis testing, regression/linear models, experimental design, and experience with longitudinal analysis, multilevel/mixed effects modeling, choice-based modeling, psychometrics, etc.
  • Triangulation and testing of relationships between consumer attitudes (e.g., survey questions) and behavioral signals (e.g., product usage logs)
  • Development of survey scales and questionnaires suitable for consumer research across global markets, taking into account local customs, response biases, and the reliability of comparisons across countries
  • A balance of creative and analytical skills with the ability to proactively define research questions, identify appropriate methods, execute studies, and synthesize findings
  • Expertise in programming languages and libraries used for data manipulation and computational statistics (e.g., R, SPSS, Python, MATLAB)
  • Very strong communication with a bias toward action and business acumen to proactively collaborate with multiple teams across the company
  • Passion about translating findings into actionable strategic business recommendations and maximizing the impact of research, leveraging compelling visualizations of data and insights

Nice to have

  • An advanced degree in Human-Computer Interaction, Psychology, Cognitive Science, Statistics, Social sciences, or a related field is preferred but not required.
  • Advertising or Business research experience is a plus but not required.

What the JD emphasized

  • end-to-end quantitative research studies
  • large-scale survey methodologies and complex survey analysis modeling
  • relevant statistical concepts
  • triangulation and testing of relationships between consumer attitudes (e.g., survey questions) and behavioral signals (e.g., product usage logs)
  • development of survey scales and questionnaires
  • programming languages and libraries used for data manipulation and computational statistics (e.g., R, SPSS, Python, MATLAB)