OpenAI
Senior
Own the metrics and experiments behind OpenAI's entire sign-up-to-account-recovery journey
OpenAI is hiring the first dedicated Data Scientist for its Identity org, covering sign up, sign in, authentication, account recovery, and enterprise identity across consumer and enterprise products. You'll build the measurement frameworks and experimentation strategy from scratch while balancing growth against fraud and abuse risk. This interview probes 0-to-1 metrics ownership, causal inference when A/B testing isn't feasible, and communicating growth/trust trade-offs to execs.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Metrics/measurement framework design from zero
- Experimentation on funnel: sign up, sign in, onboarding, account recovery
- Causal inference for non-randomizable identity changes
- Growth vs. trust/fraud/abuse trade-off quantification
- Cross-functional influence (Product, Eng, Design, Abuse, Risk, GTM)
- Executive reporting and dashboarding
Common question themes
Design an experiment to improve sign-up conversion without increasing fraud
How would you evaluate an identity change when you can't randomize
Define north-star metrics for an authentication funnel from scratch
Walk through a time you quantified a growth-vs-risk trade-off for leadership
How do you build trust in a new source-of-truth dataset across teams
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