Applied Scientist - Quantitative Modeling

Opendoor seeks an Applied Scientist to tackle complex quantitative challenges impacting homeownership. Focus on modeling, econometrics, and decision-making in a dynamic, hands-on environment.
This role demands an expert in quantitative modeling, with strong coding in Python, to enhance our valuation and pricing ecosystem. You will solve real-world problems in pricing, demand forecasting, and risk management. Your contributions will directly affect the growth of our innovative homeownership platform.
Key Responsibilities:
• Develop models for pricing and resale strategy decisions
• Create demand and conversion models with diverse signals
• Design optimization frameworks addressing margin and risk
• Apply statistical techniques for structured modeling
• Collaborate with teams to implement predictive systems
Requirements:
• Proven experience in quantitative modeling for decision-making
• Proficient in Python, targeting production quality
• Advanced degree ...