
About Opendoor
Revolutionizing home buying and selling online
Key Highlights
- Public company since 2021 with $8 billion in revenue
- Raised $1.5 billion in funding to date
- Headquartered in San Francisco, CA
- Over 1,001 employees across multiple U.S. markets
Opendoor is a leading online platform for buying and selling homes, headquartered in the Financial District of San Francisco, CA. The company went public in 2021 and has raised $1.5 billion in funding, boasting a revenue of $8 billion, significantly surpassing its initial projections of $3.5 billion...
🎁 Benefits
Opendoor offers comprehensive benefits including 100% coverage for medical, dental, and vision insurance, a flexible vacation policy with most employe...
🌟 Culture
Opendoor's culture emphasizes efficiency and innovation in the real estate market, making the home selling process easy and stress-free. The company v...
Skills & Technologies
Overview
Opendoor is seeking a Data Scientist to drive pricing strategies in residential real estate. You'll leverage data to build predictive models and dashboards, collaborating closely with cross-functional teams. This role requires strong statistical reasoning and experience in machine learning.
Job Description
Who you are
You have a strong background in data science with experience in pricing strategies — your expertise in statistical reasoning allows you to design and analyze experiments effectively. You are comfortable working with large datasets and have a solid understanding of causal inference and hypothesis testing. Your proficiency in Python and SQL enables you to build and maintain complex data models and dashboards that inform business decisions. You thrive in collaborative environments, partnering with product, engineering, and operations teams to influence the pricing roadmap and model deployment. You are detail-oriented and can deliver insights that shape executive strategy, ensuring that your analyses directly impact the company's financial performance.
Desirable
Experience in the real estate market or similar industries is a plus — you understand the nuances of pricing in complex markets. Familiarity with machine learning frameworks and tools will enhance your ability to develop predictive models that improve pricing accuracy. You are eager to tackle ambiguity and shape the pricing strategy at Opendoor, contributing to the transformation of homeownership.
What you'll do
In this role, you will be a core driver of how Opendoor prices real estate at scale — your work will directly influence how we evaluate millions of dollars of housing inventory. You will build and maintain pricing metrics and dashboards, ensuring that stakeholders have access to the insights they need to make informed decisions. Running experiments and conducting causal analyses will be a key part of your responsibilities, allowing you to measure impact and drive strategic decisions. You will develop predictive and statistical models that enhance pricing accuracy, collaborating closely with cross-functional teams to ensure successful model deployment. Your insights will not only inform executive strategy but also shape outcomes for our customers and the health of our marketplace.
What we offer
At Opendoor, we are committed to transforming the homeownership experience — you will be part of a mission-driven team that values innovation and data-driven decision-making. We offer a collaborative work environment where your contributions will have a direct impact on the company's success. You will have opportunities for professional growth and development, working alongside talented individuals who are passionate about leveraging data to drive change. Our office in Seattle provides a dynamic setting for you to thrive, with a culture that encourages creativity and collaboration.
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