Description
The Lead Applied Researcher — Pricing will design and improve dynamic pricing policies for a bid-based marketplace, developing feedback-driven decision systems that balance supply, demand, and business outcomes under uncertainty. Responsibilities include modeling elasticity and supply/demand responses, creating and deploying real-time pricing algorithms, conducting A/B experiments, productionizing models with engineering, and monitoring system performance. The role requires at least three years of experience in data science, applied research, or algorithmic product optimization, along with expertise in statistics, optimization, causal inference, Python, SQL, and production machine learning systems.
