Data Scientist - Product

Job Description

Data Scientist (L4) - Product

Great entertainment thrills and inspires. Around the world, we connect hundreds of millions of people with the best television, films, live events, games, and more. Our product is at the heart of making these connections. To build best-in-class product experiences, we develop thoughtful long-term strategies, bring the best talent together, and let them creatively problem-solve with a strong and unique work culture.

We are seeking a Data Scientist with strong analysis, causal inference/experimentation experience, and great product sense to elevate and evolve the Live experience for our members. In this role, you will drive experimentation and analytical studies to determine our in-product approach to Live positioning and discovery. Working in a highly collaborative and cross-functional environment, you will be responsible for partnering with our Product and Engineering teams to identify, incubate, and enable product innovations leveraging robust measurement techniques (e.g. experimentation, modeling, analytics). You'll work with other data scientists, data and analytics engineers, and business teams to drive product vision and advance measurement strategies through new metrics, methodological approaches, and deep-dive analyses. This is an exciting opportunity to help shape the Live experience for our members around the world!

In this role, you will:
• Drive product innovation focused on our nascent Live business and help shape the member Live experience through robust measurement strategies covering experimentation, modeling, and analytics.
• Establish strong partnerships with stakeholders to realize our vision for Live, whether by helping determine a product strategy or defining 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 produces trustworthy, high-quality outputs that influence the decisions and direction of member experience.
• Be flexible to changing circumstances. Netflix Live is evolving rapidly, and this role will help shape its future.

To be successful in this role, you have:
• Experience with supporting experimentation at scale and observational causal inference to drive product development
• Strong statistical intuition and applied experience solving problems in consumer-facing products. Experience analyzing recommender systems is a plus.
• Expertise in SQL and statistical programming (Python and/or R)
• Exceptional communication with technical and non-technical audiences. Excellent at managing multiple stakeholders and competing priorities.
• Comfort with ambiguity; ability to thrive with minimal oversight and process.
• A passion for product development and design.
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 .

Inclusion 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.

Job is open for no less than 7 days and will be removed when the position is filled.

Jobcode: Reference SBJ-xkwzk4-18-97-9-169-42 in your application.