Quantitative Researcher, Commerce Product

Netflix; Los Gatos (CA); Hybrid; USD 220,000 - 360,000; Full time

Benefits offered by this job

Health plans

Mental health support

Stock option program

Disability programs

401(k) match

Paid time off

Job summary

Netflix is seeking a Researcher to support the Product Consumer Insights and Commerce teams. You will design and lead studies on consumer value, willingness to pay, and industry benchmarks, shaping pricing and long-term strategies at a global scale.

You will collaborate with Product, Data Science, Finance, Content, Marketing, and Brand teams to socialize findings and drive strategic decisions. A strong quantitative background and a track record of cross-functional influence are essential.

Qualifications

• Experience leading end-to-end quantitative research studies (e.g., surveys).
• Self-starter who delights in working with quantitative data.
• Proficient in SQL and R and capable of querying, wrangling, and modeling data.

Responsibilities

• Design, execute, and socialize research that informs global growth strategy.
• Synthesize data from multiple sources to generate clear insights with business impact.
• Partner with CI researchers and cross-functional teams (Product, Data Science, Finance & Strategy, Marketing) to drive new initiatives.
• Identify best practices in existing and emerging research methodologies.

Skills

SQL

R

Quantitative research

Data analysis

Cross-functional collaboration

Education

Advanced degree in psychology or social sciences

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting‑edge technology. Come be a part of what’s next.

The Product Consumer Insights team uncovers compelling ways to attract and engage members around the globe. This Researcher role supports our Commerce team and is focused on understanding consumer perceptions and norms that may influence our plans, pricing, and longer‑term business outlook. Specifically, this role will explore themes such as consumer value and willingness to pay, usage of competitor services, and industry norms and trends.

This is an opportunity to lead innovative research with a demonstrable impact on a global scale. You will be responsible for defining, leading, analyzing, and socializing research studies that generate insights to empower business decisions across the company. You’ll partner with cross‑functional teams passionate about delivering the most engaging, innovative, and inclusive experiences.

This role is open to a hybrid remote/in office working model in our Los Gatos location.

In This Role, You Will

• Design, execute, and socialize research that generates insights to inform our global growth strategy
• Synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact
• Proactively partner with other CI researchers and cross‑functional partners, including Product, Data Science, Finance & Strategy, Content, Marketing, and Brand, to develop new research initiatives
• Identify best practices in existing and emerging research methodologies

About You

• Experience in product research, market research, and/or analytics, including hands‑on experience leading end‑to‑end quantitative research studies (e.g., surveys)
• Self‑starter and problem solver who loves "getting in the weeds" with quantitative data (including survey data, public "big data" repositories, and internal logged data)
• Experience with data querying, wrangling, analysis, and modeling; proficient in SQL and R
• A balance of creative and analytical skills with the ability to proactively define research questions, identify appropriate methods, design and execute studies, implement statistical approaches to analyze survey data, and synthesize findings
• Strong communicator with a bias toward action to proactively collaborate with multiple teams across the company
• Experience or interest in growth research
• Mixed methods research experience is preferred but not required
• An advanced degree in psychology, social sciences, or a related field is preferred but not required
• Global research experience is preferred but not required
• Knowledgeable of relevant statistical concepts (significance testing, regression/linear models). Experience with longitudinal analysis, multilevel/mixed effects modeling, psychometrics, conjoint, and/or survey weighting is a plus

Generally, 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 $220,000.00 - $360,000.00.

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.

Netflix is a unique culture and environment.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.

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.