Job Description
Data Scientist (L5) - Member Product
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. Within Product, we have a very high velocity in innovations in the member experience. We never stop challenging ourselves and are constantly thinking about connecting with our members in new ways or even in new domains!
Member Product DSE is at the forefront of these innovations with a mission to relentlessly improve Netflix member experience within our streaming and new verticals services across TV, Mobile & Web by surfacing insights. The team collaborates extensively with Product and Engineering teams to identify, incubate and enable product innovations leveraging robust measurement techniques (analytics, experimentation, modeling) and scalable tooling.
As a Data Scientist, you'll be at the forefront of product innovation. You'll work with other data scientists, data and analytics engineers, and business teams to drive product vision and advance measurement strategy through new metrics, methodological approaches, and deep dive analyses.
Visit our culture deck and our Research page to learn about what it's like to work on Analytics at Netflix.
In this role, you will:
• Drive product innovation through robust measurement strategies across experimentation, modeling, and analytics, as well as tooling.
• Establish strong partnerships with stakeholders to shape the vision of a space, whether that is by helping determine a product strategy or define new metrics.
• Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making.
• Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs that influence the decisions and direction of member experience.
To be successful in this role, you have:
• At least four years of experience applying statistical and mathematical concepts to make decisions at scale.
• Strong statistical skills and intuition and applied experience solving problems in consumer-facing product areas.
• Expertise in SQL and statistical programming (Python and/or R).
• Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders.
• Strong product sense to balance between addressing stakeholder or test-specific needs and investing in scalable solutions to serve general use cases.
• Exceptional communication with technical and non-technical audiences
• Comfort with ambiguity; ability to thrive with minimal oversight and process.
We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.
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 $150,000 - $750,000.
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 here.
Netflix is a unique culture and environment. Learn more here.
Jobcode: Reference SBJ-rbz7qk-3-147-64-87-42 in your application.