Staff Data Scientist - Core Revenue Retention

📋 Description

• Own the analytical and causal assessment of core revenue retention and add-on monetization
• Analyze retention and monetization across communications, messaging, telephony, AI-powered add-ons
• Quantify opportunities for add-on revenue growth and identify the behavioral, product, pricing, and
• Apply rigorous causal-inference techniques when controlled experiments are not feasible, including
• Distinguish genuine retention and monetization signals from selection bias, seasonality, customer
• Partner with Finance and Revenue Operations to establish consistent definitions, trusted reporting

🎯 Requirements

• 9+ years of experience in revenue analytics, retention analytics, data science, applied statistics
• Strong practical experience with causal inference and sound judgment regarding when analytical
• Demonstrated ability to work with complex financial, billing, subscription, and usage data and
• Strong SQL skills and working proficiency in Python.
• Experience working in modern data environments involving Snowflake, dbt, or comparable technologies.
• Proven track record of turning retention or monetization analysis into decisions affecting product

🎁 Benefits

• Annual salary range of $163,400–$220,000, depending on experience and role-related qualifications.
• Fully remote work environment within the United States.
• Staff-level ownership of a company-wide revenue-retention and monetization analytics mandate.
• Opportunity to work directly with Product, Customer Success, Finance, Revenue Operations
• Significant autonomy to define analytical standards, measurement frameworks, and reusable
• Opportunity to advise senior leaders and influence product, pricing, Customer Success, and