Netflix Senior Data Scientist L5 Games 

United States, Oregon 

579439481

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 culture:

The overall market range for this role is typically $170,000 - 720,000.

Job is open for no less than 7 days and will be removed when the position is filled.