• Develop Lead Scoring algorithms that predict the LTV of qualified insurance leads, and pass it back to our ad partners to optimize bidding strategies, as well as to our internal Sales team to prioritize outreach. • Develop models to predict churn and claims losses across our insurance products. Work closely with the Underwriting team to ensure these models are integrated into business processes. • Assist in the development of a dynamic pricing model to help RV marketplace hosts adjust prices seamlessly in response to seasonal and vehicle-based factors, as well as surges in demand. • Develop models to predict what ancillary products should be recommended for upsell to a given Outdoorsy / Roamly customer. • Use advanced statistical methods to conduct audience clustering and segmentation on both RV Rental and Insurance customers, and evangelize these findings across stakeholders in Marketing and Product. • Collaborate closely with Data Analysts and Engineers to ensure that data pipelines and models are accurate and optimized.