Data Scientist II, Interventions

## About the Role Root Insurance leverages ML to fundamentally reimagine insurance. The Interventions team uses machine learning to target interventions that improve customer lifetime value — including fraud mitigation, bad debt reduction, conversion optimization, and retention. ## Responsibilities - Monitor and improve existing ML models for insurance interventions - Seek new ML applications to drive measurable business impact - Conduct rigorous experiments to validate targeted interventions - Build models for fraud mitigation, bad debt, conversion, and retention - Collaborate with engineering teams to deploy models in production ## Requirements - 3+ years of data science or ML experience - Strong proficiency in Python and SQL - Experience with GLMs, gradient boosting, or deep learning - Track record of deploying ML models that drive business outcomes - Insurance or fintech experience preferred