Role Overview
The Staff Data Scientist – Core Revenue Retention will own the causal read on core revenue retention and add-on monetization across CPaaS, AI add-ons, and other revenue surfaces. They will quantify add-on revenue opportunity and drive the revenue-retention insights.
What You Will Do
Responsibilities include owning the causal read on core revenue retention, quantifying add-on revenue opportunity, applying rigorous causal inference, and partnering with Finance/RevOps and Product Strategy & Growth org.
Why It Might Be a Fit
The ideal candidate will have 9+ years of experience in revenue/retention analytics, data science, or applied statistics, with deep experience on churn, retention, and monetization.
Requirements
- 9+ years in revenue/retention analytics, data science, or applied statistics
- Practical causal inference with sound judgment
- Comfort untangling messy financial/billing/usage data
- Strong SQL and working proficiency in Python
- Comfort in a Snowflake + dbt environment
- Track record where a retention or monetization diagnosis changed a product, pricing, CS, or lifecycle decision
Benefits
- Dental insurance
- Vision insurance
- Paid holidays
- Paid time off
- Retirement plan
- Learning budget
- Parental leave
- Wellness program
- Visa sponsorship available
- Relocation assistance
To apply for this job please visit jobs.lever.co.
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