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NetflixData Science & Analytics 2h ago

Data Scientist 5 - Games

United StatesUnited States
Full-time
$372,000 - $600,000 / year

Job Description

About the Role: At Netflix, our mission is to entertain the world. We are looking for a Senior Data Scientist to join our Games DSE team, leading experimentation, modeling, and advanced data science needs. You will partner closely with product and cloud gaming stakeholders to drive data-informed decisions by building ML models, conducting statistical analysis, and deriving business insights.

What You'll Do

  • Partner with games product and cloud gaming stakeholders on data science and ML initiatives (e.g., ML modeling, causal inference, experimentation).
  • Lead the design, analysis, and interpretation of experiments that shape decision-making around Social, Controller, and Cloud Gaming.
  • Develop ML models to enhance player experience and core technology capabilities.
  • Proactively perform data exploration to identify opportunities for business impact and innovation.
  • Effectively communicate research and insights to both technical and non-technical stakeholders.

What You Bring

  • 5+ years of experience with a PhD in Statistics, Computer Science, or a relevant quantitative field, or 8+ years with a Master's degree.
  • 2+ years of experience working with engineering teams as a Data Scientist.
  • Statistical skills utilized in A/B testing, analyzing observational data, and statistical modeling.
  • Solid skills with applied ML modeling (e.g., deep neural networks) and working with large data sets using SQL, Python, or R.
  • Strong bias to action, delivering results quickly with iteration instead of waiting for perfection.

Benefits

  • Top of market compensation range: $372,000 - $600,000 USD per year.
  • Choose each year how much of your compensation you want in salary versus stock options.
  • Comprehensive Health Plans, Mental Health support, and a 401(k) Retirement Plan with employer match.
  • Flexible time off for salaried employees and paid leave of absence programs.
  • Fully remote work flexibility within the USA.

Safety First

  • Never pay for a job application.
  • Do not share sensitive bank info.
  • Verify the client before starting work.