
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 the residential real estate market. You'll leverage machine learning and statistical analysis to improve pricing accuracy and influence business decisions. This role requires strong expertise in Python and SQL.
Job Description
Who you are
You have a strong background in data science with experience in pricing strategies — your expertise in statistical reasoning and causal inference allows you to design effective experiments and analyze their outcomes. You are comfortable working with large datasets and have a knack for deriving actionable insights from complex data. Your proficiency in Python and SQL enables you to build and maintain robust data pipelines and models that enhance pricing accuracy. You thrive in collaborative environments, partnering closely with product, engineering, and operations teams to influence strategic decisions. You are adept at communicating your findings to stakeholders, ensuring that your insights drive executive strategy and operational improvements.
Desirable
Experience in the real estate or financial sectors is a plus, as is familiarity with machine learning frameworks. You are passionate about using data to solve real-world problems and have a keen interest in the dynamics of the housing market. You enjoy tackling ambiguity and are skilled at shaping roadmaps that align with business objectives.
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 impact how we value homes and manage risk. You will build and maintain pricing metrics, dashboards, and frameworks that provide insights into pricing strategies. Running experiments and causal analyses will be a key part of your responsibilities, allowing you to measure impact and drive data-informed decisions. You will develop predictive and statistical models that improve pricing accuracy, ensuring that our pricing strategies are both competitive and effective. Collaborating with cross-functional teams, you will influence the product roadmap and model deployment, ensuring that your insights are integrated into our operational processes. Your narratives and insights will inform executive strategy, shaping the future of our marketplace.
What we offer
At Opendoor, we are transforming the residential real estate market, and you will play a vital role in this mission. We offer a collaborative work environment where your contributions will be valued and impactful. You will have the opportunity to work with cutting-edge technologies and methodologies in data science. We encourage you to apply even if your experience doesn't match every requirement — we believe in fostering a diverse and inclusive workplace where everyone can thrive. Join us in building a modern system of homeownership that empowers individuals and strengthens communities.
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