Data Scientist (L5) - Personalization Algorithm Experimentation

At Netflix, our mission is to entertain the world by connecting our members with an extensive library of stories from around the globe. We are revolutionizing international storytelling by connecting 260+ million members in over 190 countries, across 30+ languages, to the movies and TV shows they love. A crucial element in forging these connections is providing personalized textual insights about our shows and movies and highlighting the unique ways they appeal to diverse audiences.

Member Product DSE is at the forefront of these innovations with a mission to relentlessly improve Netflix member experience within our streaming and new business domains through data. 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 focusing on the Personalization Algorithm, you'll be at the exciting intersection of product and algorithm innovation. You'll work with other Data Scientists, Data and Analytics Engineers, Algorithm Engineers, and Product Managers to drive innovation strategy and enable high throughput experimentation to provide timely and relevant recommendations of content for a thrilling experience for our members.

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 algorithm innovation through robust measurement frameworks across experimentation and analytics.
• Lead or enable engineering partners to lead the design, analysis, and interpretation of experiments that shape product decisions.
• Enhance innovation velocity and aid complex decision-making via tooling improvements and experimentation strategies in collaboration with Experimentation Platform and other Data Scientists on the team.
• Directly shape the design of Netflix's Personalization Algorithm via deep insights and close partnerships with Algorithm Engineering.
• 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 professional experience applying statistical and mathematical concepts to make decisions at scale.
• Experience with algorithms as a product (e.g. recommendation systems, ranking algorithms.)
• Strong statistical skills and intuition and applied experience solving problems in consumer-facing product areas.
• Expertise in SQL and statistical programming (Python preferred).
• Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnerships 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.

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 $170,000 - $720,000.

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.

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.