Senior Researcher - Ads Experiences

2 Months ago • 4-8 Years • Product Design • $130,000 PA - $470,000 PA

Job Summary

Job Description

Netflix seeks a Senior Researcher to lead quantitative research initiatives for their burgeoning advertising business. This role involves partnering with cross-functional teams (Product, Data Science, Design, Business) to develop and execute research strategies, gathering insights from members and advertisers globally. Responsibilities include designing and conducting large-scale surveys, analyzing complex data (using methodologies like SEM and A/B testing), translating findings into actionable recommendations, and evangelizing the value of research across the organization. The ideal candidate possesses strong quantitative research skills, experience with statistical modeling, and excellent communication abilities.
Must have:
  • Lead end-to-end quantitative research studies
  • Expertise in large-scale survey methodologies
  • Strong statistical modeling and analysis skills
  • Excellent communication and collaboration skills
  • Experience translating research into actionable recommendations
Good to have:
  • Advertising or business research experience
  • Knowledge of SQL
Perks:
  • Comprehensive health plans
  • Mental health support
  • 401(k) retirement plan with employer match
  • Stock option program
  • Paid time off
  • Flexible time off

Job Details

Netflix is one of the world's leading entertainment services, with 283 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 at the beginning of our journey of building the next generation of advertising business tools, products, and formats at Netflix, this is an exciting time to join our team! The Ads Product and UX Research team’s goal is to lead, uncover, and deliver research and insights that translate directly into product and business impact, guiding the development of advertising experiences and features enjoyed by millions of people all over the world, and by our advertising clients. 

The scope of this role is a tremendous opportunity for leadership and impact in a zero-to-one initiative within Netflix. This role will partner with Product, Data Science, Design, Business, and other cross-functional and research teams to understand their insights needs and develop, execute, and deliver best-in-class quantitative research to address them.  

In this role, you will:

  • 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). 

  • 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.

  • 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. 

  • Engage with Netflix members and advertisers in research worldwide to uncover pain points and unmet needs and translate them into actionable business recommendations. 

  • 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.

  • Cut through competing perspectives and approaches to tell powerful, objective insights and stories that can land across diverse technical and non-technical audiences. 

  • Identify opportunities to establish new points of view and capabilities that evolve our advertising product and UX research function.

  • Need to balance several projects simultaneously at different stages (from idea to presentation), both tactical and strategic, in order to steadily deliver a portfolio of insights.

In this role, you’ll need to be:

  • Comfortable putting a stake in the ground, even without all the data you need.

  • Making the connections no one else sees.

  • Standing firm in the face of change, uncertainty, and challenge.

  • Equal parts creative and analytical.

  • Both an excellent collaborator and a self-starter and know what it means to be both simultaneously.

In this role, you’ll need:

  • Demonstrable experience in product research and/or user experience (UX) research, with particular expertise and hands-on experience leading end-to-end quantitative research studies that inform business and product strategy. Including, but not limited to:

    • 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). Knowledge of SQL is desirable but not a requirement.

  • 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.

  • 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.


 

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 $130,000 - $470,000.

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. See more detail about our Benefits.

Netflix has a unique culture and environment.  Learn more.

is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

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