Opendoor

Opendoor is seeking an Applied Scientist to advance their ML/AI capabilities, focusing on valuation systems and expanding into multi-modal modeling and operational optimization. The role involves developing and deploying deep learning models, incorporating unstructured data, and enhancing human-in-the-loop pricing systems, with opportunities to work across the research and modeling stack.

Opendoor is seeking an Applied Scientist to tackle complex quantitative challenges in pricing, resale strategy, demand modeling, and risk management. The role involves building structural models, econometrics, optimization, and decision-making systems for a low-margin, high-stakes business. The ideal candidate will combine strong modeling intuition with hands-on engineering to create practical, production-quality solutions, influencing real-world decisions and impacting business outcomes.

Applied Scientist role focused on quantitative modeling, econometrics, optimization, and decision-making under uncertainty for pricing, resale strategy, demand modeling, and risk management within a low-margin, high-stakes business. The role requires strong Python coding for production-quality scientific code, experience with various modeling techniques (causal inference, Bayesian, structural, forecasting, pricing, optimization), and the ability to translate ambiguous business problems into rigorous modeling approaches. It involves building models, developing optimization frameworks, applying statistical/econometric/mathematical techniques, designing experiments, and partnering with cross-functional teams to influence real decisions. While not core AI research, it leverages ML methods and has potential applications with LLMs/VLMs.

Applied Scientist role focused on quantitative modeling, econometrics, optimization, and decision-making under uncertainty for pricing, resale strategy, demand modeling, and risk management within a low-margin, high-stakes business. The role involves building production-quality scientific code, designing experiments, and partnering with Engineering and Product to influence real decisions.

Senior Paid Search Manager at Opendoor responsible for leading strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads. The role involves leveraging AI and custom automation for performance scaling, building a rigorous testing framework, and elevating measurement and signal quality by partnering with Analytics and Engineering. It also requires orchestrating SEO/AEO/Social Search convergence and managing cross-functional relationships.

Data Scientist role focused on building and maintaining pricing models for a real estate marketplace. The role involves developing predictive and statistical models, running experiments, and partnering with cross-functional teams to influence roadmap and model deployment. Requires strong statistical reasoning, end-to-end ML ownership, and proficiency in SQL and Python.

Opendoor is seeking a mid to senior level Data Scientist to join their Pricing team. This role will focus on building and maintaining pricing metrics, dashboards, and frameworks, running experiments, developing predictive and statistical models to improve pricing accuracy, and partnering with cross-functional teams to influence roadmap and model deployment. The ideal candidate will have strong statistical reasoning, end-to-end ML ownership, SQL and Python proficiency, and experience with ill-defined problems.