Opendoor
Applied Scientist- Pricing
$201K–$330K
Seattle, WA · 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
Develops and deploys quantitative models and optimization systems to guide Opendoor’s pricing, resale, demand, and portfolio-risk decisions.
What you'll do
- Build demand, conversion, pricing, resale-strategy, and portfolio-risk models.
- Design experiments and optimization frameworks to measure customer response and balance margin, conversion, and risk.
- 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; background in real estate, housing, finance, or adjacent marketplaces.
Pay
USD $201,000-$330,000 annually (base pay), plus RSUs
Tools
Python, Pyspark, LLMs, VLMs
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