Data Scientist

Data Scientist Pricing

Location: Hyrbrid 4 onsite 1 remote Seattle WA. 

Opendoor is transforming one of the largest most complex markets in the world — residential real estate — using data at massive scale. Every pricing signal we generate directly impacts how we value homes how we manage risk and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion margins customer trust and the company’s financial performance.

We are looking for mid to senior level Data Scientists. In this role you will be a core driver of how Opendoor prices real estate at scale. You’ll operate at the intersection of economics machine learning experimentation and product strategy — tackling ambiguity shaping the pricing roadmap and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory — and directly shape outcomes for our customers our balance sheet and the health of our marketplace.

What You’ll Do

• Build and maintain pricing metrics dashboards and frameworks.
• Run experiments and causal analyses to measure impact and drive decisions.
• Develop predictive + statistical models that improve pricing accuracy.
• Partner closely with Product Engineering and Operations teams to influence roadmap and model deployment.
• Deliver insights and narratives that inform executive strategy.

Skills & Qualifications

• Deep statistical reasoning: hypothesis design experimental design causal inference and ability to distinguish signal vs noise.
• Proven end-to-end ML ownership: data acquisition feature engineering model development validation deployment and ongoing monitoring.
• Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g. Spark Airflow Ray SageMaker Vertex etc.).
• Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
• Experience working with ill-defined problems and driving clarity on problem definition success metrics and realistic tradeoffs.
• High data-quality bar: disciplined approach to validation bias analysis and making decisions rooted in evidence vs intuition.
• Effective communicator — able to tell the story behind the model to both highly technical and non-technical audiences.
• 8+ years of experience in data science product analytics or a similar quantitative role.

Base salary range for this role varies. Generally the base salary range is $186000 – $256000 annually + RSUs + ESPP + additional employee benefits (medical/dental/vision life insurance unlimited PTO 401K).

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What We Do

Founded in 2014 Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and confusing. It often comes with unexpected costs the added burden of coordinating multiple third parties and the uncertainty of a transaction falling through. Our goal is simple: build a digital end-to-end customer experience that makes buying and selling a home simple certain and fast. We have assembled a dedicated team with diverse backgrounds and talents across engineering operations design operations mortgage finance legal and more to deliver strong results. More than 85000 customers have selected us as a trusted partner in handling one of their largest financial transactions.

Why Work With Us

We’re on a mission to power life’s progress one move at a time

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