[Remote] Data Scientist 5 - Games

Note: The job is a remote job and is open to candidates in USA. Netflix is a company dedicated to entertaining the world by pushing the boundaries of storytelling and technology. They are seeking a Senior Data Scientist to join their Games Data Science and Engineering team, focusing on experimentation, modeling, and advanced data science initiatives to drive data-informed decisions in gaming.

Responsibilities

• Partner with games product and cloud gaming stakeholders (e.g., Games Product Management team, Games Social team, Controller team) on data science and ML initiatives (e.g., ML modeling, causal inference, experimentation etc)
• Lead the design, analysis, and interpretation of experiments that shape decision-making around Social, Controller, and Cloud Gaming at Netflix
• Develop ML models to enhance player experience and core technology capabilities to enable new Controller, Cloud Gaming and Social experiences
• Proactively perform data exploration to identify opportunities for business impact and innovation
• Serve as a strategic thought partner to product managers and engineers, directly influencing product direction and improving user experience
• Effectively communicate research and insights to both technical and non-technical stakeholders to influence and drive business impact
• Balance handling ad hoc requests while also driving strategic projects forward

Skills

• At least 5 years of experience with a PhD degree in Statistics, Computer Science, Econometrics, Mathematics, Engineering or a relevant quantitative field or 8+ years of experience with a Master degree in those fields
• At least 2 years of experience working with engineering teams as a Data Scientist
• You have statistical skills utilized in A/B testing, analyzing observational data, and statistical modeling
• You have solid skills with applied ML modeling (e.g., deep neural networks) and assessment
• 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

Benefits

• 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
• Life and Serious Injury Benefits
• 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

Company Overview

Company H1B Sponsorship