• Conduct experimentation and execute causal inference analyses on pricing, marketing, and conversion models to drive revenue optimization. • Develop Pricing Optimization algorithms to maximize the unit economics of our lending products while driving meaningful growth in our origination businesses. • Develop and maintain predictive ML models to assess potential risks and opportunities across our lending products, contributing to the enhancement of risk and marketing assessment procedures. • Conceptualize, research, and prototype data-driven solutions, effectively communicating their impact to the stakeholders. • Collaborate closely with cross-functional teams and stakeholders to accelerate solution iteration and achieve measurable outcomes. • Build funnel dashboards and perform root cause analysis to monitor and identify user behavioral patterns and areas of opportunity. • Collaborate with data and infrastructure engineers to deploy ML and Pricing pipelines, from data collection through model deployment. This includes automating training and ongoing monitoring utilizing BI tools. • Prepare technical designs and documentation using git and Confluence.