Opendoor is seeking a Data Scientist to improve how they price, buy, and sell homes by driving insights, experimentation, and algorithmic improvements.
Requirements
- Expert-level proficiency in SQL for complex analysis and data modeling.
- Strong proficiency in Python (pandas, numpy, scikit-learn, statsmodels, etc.) for analytics and modeling.
- Deep understanding of statistical inference, regression analysis, and experimental design.
- Experience with A/B testing platforms, BI tools (e.g., Quicksight, Tableau, or similar), and data warehouses (Snowflake, Redshift).
- Experience working with large-scale, distributed data processing (e.g., Spark/PySpark, Dask) and modern data orchestration tools (e.g., Airflow or dbt) is a plus.
Responsibilities
- Lead analytical deep dives to diagnose pricing performance, uncover market dynamics, and identify opportunities to improve business outcomes.
- Design and implement robust metrics and pricing frameworks to evaluate new housing features, pricing algorithms, and operational initiatives.
- Run A/B tests and advanced statistical analyses — including causal inference and regression modeling — to measure impact and guide decision-making.
- Develop and iterate predictive and statistical models that capture market behavior, price elasticity, and demand patterns to inform pricing strategy.
- Partner with Product, Engineering, Research and Operations to shape experimentation roadmaps and ensure successful model deployment and monitoring.
- Develop and automate dashboards and data pipelines that enable real-time tracking of pricing and market performance metrics.
- Prototype and operationalize data-driven strategies that enhance pricing accuracy.
Other
- 5+ years of experience in data science or analytics, preferably within pricing, marketplace dynamics, or experimentation-heavy product environments.
- Proven track record of driving measurable business outcomes through data.
- Strong business acumen and ability to translate analytical findings into strategic, actionable insights.
- Excellent communication and storytelling skills, including the ability to influence and present complex analyses to senior leadership.
- Exceptional problem-solving skills with a demonstrated ability to tackle ambiguous, open-ended, and cross-functional business challenges.
