Applied Scientist

Job description

About the Role We’re looking for an Applied Scientist to work on some of the hardest quantitative problems at Opendoor. This role will focus primarily on structural modeling, econometrics, optimization, and decision-making under uncertainty, with applications spanning pricing, resale strategy, demand modeling, and risk management. This role will contribute to our broader valuation and pricing ecosystem and we’re looking for someone who can combine strong modeling intuition with hands-on execution and strong engineering to build practical solutions for a low-margin, high-stakes business where small improvements can have an outsized impact. You’ll work on problems like modeling post-listing demand, estimating price elasticity, designing experiments, building structural models, and developing optimizers that help us make better decisions across our products and inventory. We’re a small, nimble team, so there’s ample opportunity to shape both the modeling direction and how these systems get used in production decision-making. What You'll Need: - Experience developing quantitative models to support real-world decision-making under uncertainty - Strong coding skills in Python, with the a...