Figma
Mid
Own marketing measurement and attribution for Figma's growth engine
Figma is hiring a Marketing Data Scientist to build measurement frameworks — attribution, incrementality, experimentation, forecasting, and marketing mix modeling — for Paid Marketing, Lifecycle, Demand Gen, and Growth teams. With 5+ years of experience expected and strong emphasis on causal inference plus executive communication, this interview centers on whether you can both build rigorous measurement science and translate it into decisions marketing leaders will act on.
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Free · a live voice mock calibrated to this exact role
What this interview tests
- Attribution modeling vs. incrementality testing
- Marketing mix modeling and multi-touch attribution
- SQL and Python/R for scalable measurement
- Experimentation and causal inference in marketing
- Translating analysis into decisions for marketing leaders
- Partnering across Paid Marketing, Lifecycle, Demand Gen, Growth
Common question themes
How would you design an incrementality test to measure a paid channel's true impact on growth
Walk me through a marketing measurement framework you built and how stakeholders used it to reallocate budget
How do you decide between a full causal experiment and a simpler directional attribution read
Describe a SQL or Python analysis you built to support a marketing decision
Tell me about a time you had to convince a skeptical marketing leader that a channel wasn't performing
What's your experience with marketing mix modeling or multi-touch attribution, if any
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