Roblox
Senior
Prove what's actually driving Roblox's growth, not just report on it
Roblox's Data Science & Analytics org is hiring a senior data scientist to build measurement frameworks for growth efforts — performance marketing efficacy, attribution modeling, and incrementality. You'll turn messy growth signals into causal, decision-grade insight for a platform serving tens of millions of daily users. Strong fit for someone who has run marketing science and campaign evaluation at scale and can translate stats into product/marketing action.
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What this interview tests
- Causal inference & experimental design
- Marketing attribution / incrementality measurement
- Statistical modeling for growth
- SQL/Python for large-scale data analysis
- Cross-functional communication with marketing & product
- Gaming/marketplace growth dynamics
Common question themes
Design an incrementality test for a performance marketing campaign with no clean control group
Walk through building an attribution model from ambiguous multi-touch signals
How would you measure the impact of a growth initiative when a randomized experiment isn't feasible
Explain a time a causal analysis contradicted the intuitive narrative and how you handled the pushback
How do you validate a statistical model's assumptions before trusting its output for a budget decision
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