Applied Scientist

Responsibilities

• Build models to support decision-making regarding pricing, resale strategy, and portfolio risk
• Develop demand and conversion models using pre-listing and post-listing signals
• Design and improve optimization frameworks to balance margin, conversion, and risk
• Apply statistical, econometric, and mathematical modeling techniques to complex problems
• Design experiments and measurement approaches to quantify price elasticity and customer response
• Partner with Engineering, Product, and Operations to integrate models into production systems

Requirements

• Experience developing quantitative models for real-world decision-making under uncertainty
• Strong coding skills in Python with the ability to implement production-quality scientific code
• Experience with causal inference, Bayesian modeling, structural modeling, or mathematical optimization
• Ability to work with messy, high-dimensional real-world data and translate ambiguous problems into rigorous models
• Advanced degree (MS or PhD preferred) in a quantitative discipline such as Statistics, Mathematics, Economics, or Computer Science
• Strong communication skills to collaborate with cross-functional stakeholders

Preferred Qualifications

• Experience in pricing, marketplace modeling, revenue management, or inventory optimization
• Background in real estate, housing, finance, or adjacent marketplace domains
• Familiarity with distributed data processing tools like PySpark
• Experience with machine learning methods, including deep learning, LLMs, or VLMs

About the Company

Opendoor is building the modern system of homeownership, giving people the freedom to buy and sell homes on their own terms through an end-to-end online experience.