Data Scientist (L5) - Games Product

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.

We are seeking a Senior Data Scientist with strong causal inference and experimentation experience to elevate and evolve the Games experience for our members.  In this role, you will drive experimentation to determine our in-product approach to Games 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).

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. Note that you will be jumping in near the very beginning of our Games adventure - this is an exciting time to help us redefine what a Netflix subscription means for our members around the world!
 

In this role, you will:

• Drive product innovation through robust measurement strategies across experimentation, modeling, and analytics to shape how our members experience Netflix Games.

• 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. 

• Be flexible to changing circumstances - Netflix Games are evolving rapidly, and this role will help shape what that evolution looks like.

To be successful in this role, you have:

• Advanced degree in Statistics, Mathematics, Computer Science, Economics or related quantitative field.

• 5+ years of relevant experience focused on building and delivering real-world machine learning models with demonstrated impact.

• Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settings.

• Strong Quantitative Programming skills in a language such as Python.

• Exceptional oral and written communication skills.

• 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. 

• Ability to work independently and drive your own projects.

• Embodies Netflix values while bringing a new perspective to continue to improve 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.