Staff Data Scientist - Core Revenue Retention

About the role

We're hiring a Staff Data Scientist, Core Revenue Retention to own one outcome — keeping and growing revenue from existing customers — across every team that shapes it. Revenue retention isn't the property of a single product: it spans CPaaS (phone, SMS, email, WhatsApp) as our largest MRR surface, add-on monetization including emerging AI features, the Customer Success motions that protect accounts, and Finance's forecasts.

What you'll do

• Own the causal read on core revenue retention and add-on monetization — gross and net revenue retention, MRR churn (voluntary vs involuntary)
• Quantify add-on revenue opportunity across CPaaS and emerging AI features, and the drivers behind attach and consumption
• Apply rigorous causal inference (matching, diff-in-diff, survival/hazard
• Partner with Finance/RevOps on single-source-of-truth definitions and forecasting inputs; drive the revenue-retention insights
• Partner with the Product Strategy & Growth org on the TTP/churn charter, and with the Experimentation lead to test retention interventions rigorously

What you need

• 9–16 yrs of experience
• SQL
• Python
• Statistics
• Snowflake
• dbt
• Customer success
• Any graduate

Good to have

• CRM
• Product strategy