Applied Scientist — Pricing, Demand & Optimization

Opendoor; Miami (FL); On-site; USD 156,800 - 335,000; Full time

Benefits offered by this job

Unlimited PTO

Medical/Dental/Vision Insurance

Life Insurance

401(k)

Job summary

Opendoor is seeking an Applied Scientist to tackle complex quantitative problems across pricing, resale strategy, demand modeling, and risk management. The role emphasizes structural modeling, econometrics, and decision-making under uncertainty, with an emphasis on producing production-ready solutions for a high-stakes, low-margin business.

You will build and deploy models, design experiments, and collaborate with cross-functional teams to influence real decisions across products and inventory.

Qualifications

• Experience developing quantitative models to support real-world decision-making under uncertainty.
• Strong coding skills in Python with production-quality code.
• Background in causal inference, Bayesian/structural modeling, demand forecasting, pricing science, or mathematical optimization.

Responsibilities

• Build models to inform pricing, resale strategy and portfolio risk at Opendoor.
• Develop demand and conversion models using pre-listing and post-listing signals.
• Design and improve optimization frameworks balancing margin, conversion and risk.
• Apply econometric and mathematical modeling to problems where structure matters.
• Design experiments to quantify price elasticity, customer response and trade-offs.
• Partner with Engineering, Product and Operations to deploy models into production decisions.
• Move quickly from idea to prototype to production-ready components.

Skills

Quantitative modeling

Python

Communication

Collaboration

Education

MS/PhD in quantitative field

Tools

Pyspark

Job description

Opendoor is seeking an Applied Scientist to tackle complex quantitative problems across pricing, resale strategy, demand modeling, and risk management. The role emphasizes structural modeling, econometrics, and decision-making under uncertainty, with an emphasis on producing production-ready solutions for a high-stakes, low-margin business.

You will build and deploy models, design experiments, and collaborate with cross-functional teams to influence real decisions across products and inventory.