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Netflix Senior Data Scientist L5 Games United States, Oregon 929588692
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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.
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