[Remote] Data Scientist 5 - Games Central Studio
Note: The job is a remote job and is open to candidates in USA. Netflix is a leading entertainment company focused on pushing the boundaries of storytelling and technology. They are seeking a Senior Data Scientist to join their Games Data Science and Engineering team, where the role involves leading data-driven initiatives, conducting statistical analysis, and partnering with game studio stakeholders to enhance business decisions through data insights.
Responsibilities
- Partner with our Games Studio stakeholders (e.g., Games Development, Production, Product Management, Tech Lab, Finance and Strategy teams) on advanced data science and modeling initiatives (e.g., prediction modeling, causal inference, experimentation etc)
- Lead the design, analysis, and interpretation of experiments that shape decision-making in game verticals and titles
- Advance the audience understanding and product-market-fit for game verticals and titles with data science research
- 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
Skills
- At least 2 years of experience working in the Games industry as a Data Scientist
- At least 5 years of experience with a Ph.D. degree in Statistics, Econometrics, Mathematics, Engineering or a relevant quantitative field or 8+ years of experience with a Master degree in those fields
- Outstanding statistical skills utilized in A/B testing, analyzing observational data, and statistical modeling
- Comfortable working with large data sets and analyzing complex data with SQL and other tools such as Python
- Excellent business acumen on product innovations and excellent problem solving skills to translate business requirements to data science problems
- Strong bias to action, delivering results quickly with iteration instead of waiting for perfection
- Fast learner and comfortable with ambiguous requests
- Exceptional technical and non-technical communication skills and can manage stakeholder priorities directly
- Willing to mentor junior data scientists on the team to accelerate team growth
- Proactively learning and adopting AI capabilities to supercharge your workflow
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