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Staff Data Scientist - Core Revenue Retention

4 hours, 52 minutes ago
India
Lead
Data Scientist
Data Science and Analytics
CRM dbt Python Snowflake SQL
Apply Now
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
View All Jobs 90

Description

  • Own the 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 the drivers of attachment and consumption.
  • Apply causal-inference methods, including 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 and establish analytical standards across adjacent teams.
  • Define company-wide canonical retention 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, with deep expertise in churn, retention, and monetization.
  • Practical causal-inference experience and sound judgment distinguishing causal effects from data artifacts.
  • Experience analyzing complex financial, billing, and usage data and defining defensible metrics.
  • Strong SQL and working proficiency in Python.
  • Experience with Snowflake and dbt.
  • A record of influencing product, pricing, Customer Success, or lifecycle decisions through retention or monetization analysis.
  • Comfort working with imperfect, evolving data foundations and governed data sources.
  • Strong cross-functional influence across Product, Customer Success, Finance, and leadership without direct authority.
  • Experience with CPaaS, telephony, messaging, or usage-based revenue is preferred.
  • B2B SaaS or CRM experience, including subscription billing, dunning, or involuntary-churn recovery, is preferred.
  • Familiarity with Statsig or a comparable experimentation platform is preferred.
  • Experience with AI-assisted analytics workflows or mentoring analysts is preferred.

Benefits

  • Remote-first work environment across a global organization.
  • Equal Opportunity Employer with voluntary demographic information handled separately for compliance purposes.
  • Applicant privacy protections under HighLevel’s privacy policy.

Interested in this position?

Apply directly on the company website

Apply Now

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