Data Scientist (L5) - Cloud Games Quality of Experience

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.

This data scientist role will focus on characterizing the quality of experience specific to our nascent cloud games offering, and operationalizing it across the business to illuminate and drive prioritization against the highest impact opportunities.  You will join the team of Analytics Engineers, Data Scientists, and Data Engineers who partner with our infrastructure engineering teams to create metrics, perform analysis, and develop the tools and data products that help us make better decisions about our infrastructure and its impact on our product’s quality of experience.

What you’ll do:

• Establish the fundamental set of quality of experience metrics used to evaluate our Cloud Games sessions, which is likely to include research and development of several new metrics.
• Become the resident expert on all things Cloud Games Quality of Experience, partnering closely with Games Engineering and Games Studio teams to drive a culture of data-informed decision-making about our games title portfolio and the games platform infrastructure.
• Develop deep expertise in how the Cloud Games infrastructure works, and understand how data, analytics, experimentation, and algorithms can play an impactful role in driving improvements to its performance.
• Use a combination of experiment and observational data to understand the Netflix member perspective on their gaming experiences.  Help us understand the Netflix member perspective on their experiences.
• Translate valuable insights and data from this domain to initiatives in other parts of the business.

You have:

• Advanced training in a quantitative field (Data Science, Statistics, Mathematics, Engineering, Physics, Economics, etc) or commensurate work experience.
• Fluent in SQL. Comfortable prototyping pipelines of moderate complexity, with the ability to effectively partner with data engineering teams building more scalable solutions for important use cases
• Strong Quantitative Programming skills in Python, R experience a plus
• Passion for instrumenting and analyzing products to drive improvements to user experience, backed by strong product knowledge and intuition - ideally utilized in consumer/user interface settings or internally serving technical audiences such as engineers.
• Demonstrated effectiveness at developing meaningful stakeholder relationships and deep domain expertise.  
• The demonstrated ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.  
• Comfort with ambiguity, and the ability to thrive with minimal oversight and process.
• Embodied the Netflix values while bringing a new perspective to continue improving our culture.

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 details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

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.