Quantitative Scientist Decision-Making

Position: Quantitative Scientist for Decision-Making
Become an Applied Scientist at Opendoor, focusing on quantitative modeling for strategic decision-making in pricing and demand analysis. Make significant contributions in a dynamic role.

As an Applied Scientist, you'll engage with complex quantitative problems that underline the operational success of Opendoor's mission. Your work on structural modeling and optimization will contribute to developing practical solutions that improve pricing strategies and portfolio management. Collaborating with diverse teams, you'll transform business challenges into actionable insights through robust statistical methods.

Key Responsibilities:

• Develop structural models influencing pricing and resale strategies

• Build demand prediction models using both new and historical data

• Enhance optimization strategies balancing key business metrics

• Apply econometric methods to informed decision-making

• Design measurement frameworks to evaluate customer response and price sensitivity

Requirements:

• Strong background in quantitative modeling under uncertainty

• Expert coding skills in Python for deployment-ready solutions

• Advanced degree in statistics, mathematics, or economics

• Effective in communicating technical topics to stakeholders

• Experience with complex datasets in real-world scenarios

Apply your quantitative skills at Opendoor to make impactful decisions that support home ownership.
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