Applied Scientist: Pricing, Demand & Optimization

OpenDoor; Seattle (WA); On-site; USD 156,800 - 335,000; Full time

Benefits offered by this job

Unlimited PTO

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k)

Job summary

Opendoor is seeking an Applied Scientist to tackle hard quantitative problems across pricing, resale strategy, demand modeling, and risk management. You will work on structural and econometric modeling, building optimizers that inform decisions for a low‑margin, high‑stakes business.

You’ll join a nimble team with opportunities to shape modeling direction and production usage, delivering practical solutions through engineering collaboration and hands‑on execution.

Qualifications

• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline.
• Experience developing quantitative models to support real‑world decision‑making under uncertainty.
• Strong coding skills in Python, with production‑quality implementation experience.
• Excellent communication and collaboration with cross‑functional stakeholders.

Responsibilities

• Build models that help Opendoor make better decisions around pricing, resale strategy, and portfolio risk.
• Develop demand and conversion models using pre‑listing and post‑listing signals.
• Design and improve optimization frameworks balancing margin, conversion, and risk.
• Apply statistical, econometric, and mathematical modeling techniques when structure matters.
• Design experiments to quantify price elasticity, customer response, and product trade‑offs.
• Partner with Engineering, Product, and Operations to turn models into production systems.
• Move quickly from idea to prototype to production‑ready scientific components.

Skills

Python

Causal inference

Bayesian modeling

Structural modeling

Demand forecasting

Pricing science

Optimization

Statistics

Economics

Communication

Cross-functional

Education

MS or PhD in quantitative field

Tools

PySpark

Job description

Opendoor is seeking an Applied Scientist to tackle hard quantitative problems across pricing, resale strategy, demand modeling, and risk management. You will work on structural and econometric modeling, building optimizers that inform decisions for a low‑margin, high‑stakes business.

You’ll join a nimble team with opportunities to shape modeling direction and production usage, delivering practical solutions through engineering collaboration and hands‑on execution.