Staff Data Scientist (Core Revenue Retention)

Location: United States; remote

Salary: $163,400–$220,000 per year

Company

hirify.global provides an AI-powered business operating system for agencies, entrepreneurs, and small and midsize businesses, combining conversations, automation, and intelligence at large scale.

What you will do

• Own the analytical view of core revenue retention, gross and net revenue retention, MRR churn, add-on attachment, and usage across CPaaS, AI add-ons, and other revenue surfaces.
• Quantify add-on revenue opportunities and identify the drivers of customer attachment and consumption.
• Apply causal inference methods such as matching, difference-in-differences, survival and hazard analysis, and synthetic control.
• Partner with Finance, RevOps, Product Strategy, Growth, Experimentation, Customer Success, and Communications/CPaaS leaders on definitions, forecasting, and retention interventions.
• Set company-wide standards for governed GRR, NRR, churn, and add-on metrics and build reusable retention-analysis methods.
• Use AI tooling such as Claude for exploration, documentation, and analysis, with potential to grow a data science pod.

Requirements

• 9+ years of experience in revenue or retention analytics, data science, or applied statistics, with deep expertise in churn, retention, and monetization.
• Practical causal-inference experience and sound judgment in distinguishing causal results from data-generation artifacts.
• Experience working with complex financial, billing, and usage data and defining metrics that withstand Finance and product scrutiny.
• Strong SQL and working proficiency in Python, with comfort in Snowflake and dbt.
• Evidence that retention or monetization analysis influenced product, pricing, Customer Success, or lifecycle decisions.
• Ability to align product, Customer Success, Finance, and leadership around shared metrics without direct authority.

Nice to have

• CPaaS, telephony, messaging, or usage-based revenue experience.
• B2B SaaS or CRM experience, including MRR, subscription billing, dunning, or involuntary-churn recovery.
• Familiarity with Statsig or a comparable experimentation platform.
• Experience with AI-assisted analytics workflows or mentoring analysts.

Culture & Benefits

• Full-time employee role in a remote-first organization.
• Work with a globally distributed organization supporting businesses across more than 150 countries.
• Opportunity to influence company-wide analytical standards and revenue decisions.
• Equal opportunity employment environment.