Location: Seattle, Washington
Come build the future of real estate at Opendoor.
Opendoor is transforming residential real estate - one of the largest, most complex markets in the world - using data and AI at massive scale.
We are looking for experienced Data Scientists. In this role, you will be a core driver of how Opendoor grows its customer base and optimizes conversion at scale. You'll operate at the intersection of machine learning, experimentation, analytics, and product strategy — building models that predict customer behavior, running experiments that validate channel strategy, creating dashboards that guide marketing investment, and tackling ambiguity to shape the growth roadmap. Your work will influence how we deploy millions of dollars in growth capital, and more importantly, help tilt the world in favor of homeowners and those working hard to become homeowners.
What You’ll Do- Define, instrument, and own the critical business and product metrics that drive growth
- Design and analyze experiments to measure progress and drive decisions
- Build measurement infrastructure that connects marketing spend, product changes, pricing, and macro to capital allocation decisions and growth forecasting
- Partner with Product and Marketing to identify high-impact opportunities, quantify trade-offs, and turn insights into action
- Develop and deploy models that optimize targeting, channel mix, funnel performance, and customer retention across the growth flywheel
- Translate ambiguous problems into clear narratives that shape strategy and align cross-functional teams
- Build and ship AI-powered tools that accelerate experimentation, personalization, and decision-making across the growth organization
- 5+ years of experience in a Data Science or related role
- Deep statistical reasoning: hypothesis testing, experimental design, and causal inference.
- 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 quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence.
- Effective communicator — able to tell the story behind the model to both highly technical and non-technical audiences.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. base pay range for this position in Seattle, Washington is $186,000.00 - $256,300.00 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. We also offer a comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.
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