Replit
Mid
Build the AI-augmented analytics layer spanning marketing, customer signal, and support at Replit
Replit is hiring a Data Scientist (Product Operations) to own analytics and intelligence across marketing performance, customer feedback, and support data, using LLMs to automate insight delivery at scale rather than just building dashboards. Expect the interview to dig into A/B testing rigor, attribution/marketing-mix modeling, churn/retention modeling, and hands-on experience turning LLMs into automated analytical systems rather than one-off prompting.
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What this interview tests
- A/B test design and statistical rigor (sample sizing, causal inference)
- Attribution and marketing mix modeling
- SQL + dbt ETL at event-level scale
- Churn/retention modeling and lifecycle intervention
- Using LLMs/agentic workflows to automate analysis of unstructured data
- Cross-functional partnership across Marketing, Product, Engineering, Support, Sales
Common question themes
Describe a marketing experiment or attribution model you designed and what decisions it drove
Walk me through a churn or retention model you built and how it changed lifecycle strategy
Tell me about a time you used LLMs to automate analysis of unstructured customer data (support/reviews/social)
How do you approach A/B test design and statistical rigor in a PLG/freemium context
Describe your SQL/dbt experience with large-scale event-level user behavior data
How have you partnered with multiple stakeholder teams (Marketing, Support, Product, Sales) on one deliverable
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