Jobs at Opendoor

Build machine learning and causal inference models for customer acquisition, conversion, lifetime value, marketing measurement, and budget optimization. Develop production decision systems, evaluate predictive and business outcomes, and estimate incremental marketing impact using experimental and observational data. Partner with Marketing, Product, Engineering, and Sales to deploy and improve models that support profitable growth.

The Applied Scientist will tackle various machine learning problems, enhance valuation systems, and deploy deep learning models while collaborating with cross-functional teams.

As a Data Scientist at Opendoor, you'll enhance pricing strategies through statistical models, machine learning, experiments, and interdisciplinary collaboration to drive business outcomes.

As an Applied Scientist, you will develop quantitative models for decision-making in pricing, resale strategy, and risk management, involving hands-on coding and collaboration with other teams.

Design, build, and operate production ML models, services, and platforms for pricing, risk, and decision systems. Own end-to-end model pipelines, deployment, monitoring, and iteration. Collaborate with researchers and product to productionize prototypes, tackle data drift and sparsity, lead design reviews, and mentor teammates.

Manage Opendoor-owned home listings from offer through closing. Negotiate price, concessions, repairs, and timelines with buyer agents; coordinate internal teams, title and escrow partners, and transaction stakeholders; resolve issues, maintain accurate documentation, monitor transaction health, and deliver responsive agent and buyer experiences in a high-volume, metrics-driven environment.