Roblox aims to connect a billion people through immersive digital experiences and is looking to deepen its quantitative understanding of growth efforts, including performance marketing efficacy, attribution modeling, and incrementality measurement, to optimize user growth strategies and impact.
Requirements
- A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields
- 4+ years of experience in a data science role, with a focus on marketing science and campaign evaluation
- Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design
- Experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools
- Experience in the gaming industry and/or multisided marketplaces
Responsibilities
- Conduct comprehensive analyses and develop measurement framework for growth efforts using advanced statistical methods and causal inference methodologies
- Collaborate with marketing, product, and engineering teams to find opportunities for improvement and build data-driven solutions
- Contribute to the development of a robust data infrastructure to support user growth
- Communicate insights and discuss recommendations with cross function partners translating complex technical concepts into actionable insights
- Partner with different product teams to optimize user growth strategies through insights, strategy, and leadership
Other
- Roles based in San Mateo, CA require onsite presence Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday
- MSc, PhD, or equivalent experience in quantitative fields is required
- 4+ years of experience in a data science role is required
- Must be able to work cross-functionally and communicate complex technical concepts to non-technical stakeholders
- Equal employment opportunities and reasonable accommodations are provided as per company policy
