Staff Data Scientist - Core Revenue Retention

41 minutes ago
Full-time
Lead
Data Science and Analytics
HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
251-1K
Founded 2018
$60M raised

Description

  • Own causal analysis of gross and net revenue retention, MRR churn, add-on attachment, and usage across revenue surfaces.
  • Quantify add-on revenue opportunities and identify drivers of attachment and consumption.
  • Apply causal-inference methods such as matching, difference-in-differences, survival/hazard analysis, and synthetic controls.
  • Partner with Finance and RevOps to establish shared metric definitions and forecasting inputs.
  • Collaborate with Product Strategy, Growth, and Experimentation teams to evaluate retention interventions.
  • Advise Customer Success, Finance, and CPaaS leaders using evidence-based retention insights.
  • Set company-wide standards for retention, churn, and add-on metrics using governed, certified data.
  • Build reusable retention and causal-inference frameworks for Analytics Engineering and data science teams.
  • Use AI tools such as Claude to accelerate exploration, documentation, and analysis.

Requirements

  • 9+ years of experience in revenue or retention analytics, data science, or applied statistics.
  • Deep experience with churn, retention, and monetization analysis.
  • Practical causal-inference experience and sound judgment distinguishing causal results from data artifacts.
  • Experience working with messy financial, billing, and usage data and defining reliable metrics.
  • Strong SQL and working proficiency in Python.
  • Experience with Snowflake and dbt environments.
  • Track record of influencing product, pricing, Customer Success, or lifecycle decisions through analysis.
  • Ability to work with imperfect data and consume governed sources while improving analytical standards.
  • Strong cross-functional influence across Product, Customer Success, Finance, and leadership without direct authority.
  • Preferred: CPaaS, usage-based revenue, B2B SaaS, CRM, subscription billing, dunning, experimentation platforms, AI-assisted analytics, or analyst mentoring experience.

Benefits

  • Remote-first work environment across a global organization.
  • Equal Opportunity Employer with voluntary demographic information collected solely for compliance purposes.
  • Applicant privacy protections and a separate handling process for demographic information.

Interested in this position?

Apply directly on the company website

Apply Now

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