Opendoor
Applied Scientist- Pricing
Miami, FL · On-site · Full-time · Posted May 11, 2026
- Education
- Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline.
About the job
Build and deploy quantitative models and optimization systems that guide Opendoor’s pricing, resale, demand, and portfolio-risk decisions.
What you'll do
- Develop pricing, demand, conversion, and portfolio-risk models using listing and other signals.
- Design optimization frameworks and experiments to balance margin, conversion, risk, and customer response.
- Partner with Engineering, Product, and Operations to put models into production decision-making systems.
What they ask for
- Experience developing quantitative models for real-world decision-making under uncertainty.
- Strong Python coding skills, including production-quality scientific code.
- Experience in at least one of causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization.
- Comfort with messy, high-dimensional data and translating ambiguous business problems into rigorous models.
Nice to have
- Experience in pricing, marketplace modeling, revenue management, supply/demand systems, inventory optimization, or risk modeling.
- Familiarity with Pyspark, machine learning, LLMs, or VLMs; or background in real estate, housing, finance, or adjacent marketplaces.
Tools
Python, Pyspark
AI focus
Machine learning methods, including deep learning alongside structured statistical modeling; experience with LLMs or VLMs is a nice-to-have.
Model-written summary · the original posting is authoritative