Now is an amazing time to join Netflix as we seek to entertain the world. We have over 260 million paid members in over 190 countries, and we won’t stop there. Games are our next big frontier and an incredible opportunity for us to deliver new experiences to delight and entertain our quickly growing membership. You will be jumping in at the very beginning of this adventure and be in a position to help us redefine what a Netflix subscription means for our members around the world.

Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, and sciences to improve various aspects of our business. We are looking for a Senior Data Scientist to join our Games DSE team, leading experimentation and advanced data science needs. This role will be partnering closely with our Game studio stakeholders to drive data informed decisions by building predictive models, conducting statistical analysis and deriving business insights. As a member of this team, you will also play a critical role in presenting insights that shape our decision making and ensure decisions are sound from a statistical perspective.

What You Will Do:

  • Partner with our Game stakeholders (e.g., Netflix Games Development team, Game Developers, Game Strategy, Planning & Analysis team) on advanced analytic initiatives (e.g., prediction modeling, causal inference, experimentation etc)

  • Lead the design, analysis, and interpretation of experiments that shape decision-making around Games at Netflix

  • Proactively perform data exploration to discover innovation and testing opportunities

  • Drive and implement high impact projects end to end

  • Present your research and insights to key stakeholders

  • Work with business stakeholders to connect analysis to key decisions that affect the business to influence and drive impact to the business

  • Balance handling ad hoc requests while also driving larger projects forward

Who You Are:

  • You have at least 2 years of experience working in the Games industry as a Data Scientist.

  • At least 5 years of experience with a PhD degree in Statistics, Econometrics, Mathematics, Engineering or a relevant quantitative field or 8+ years of experience with a Master degree in those fields.

  • You have statistical skills utilized in A/B testing, analyzing observational data, and statistical modeling

  • You are comfortable working with large data sets and analyzing complex data with SQL and other tools such as Python or R

  • You have good business acumen on product innovations and excellent problem solving skills to translate business requirements to data science problems.

  • You have a strong bias to action, delivering results quickly with iteration instead of waiting for perfection

  • You are a fast learner and are comfortable with ambiguous requests.

  • You have exceptional communication skills and can manage stakeholder priorities directly

  • Willing to mentor junior data scientists on the team to accelerate team growth.

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.