Data Scientist

About the Role

We are seeking a highly analytical and strategic Data Scientist to join our Pricing team at Opendoor. This role sits at the intersection of data science, pricing, and business strategy — driving insights, experimentation, and algorithmic improvements that directly shape how we price, buy and sell homes.

You’ll lead analytical initiatives that drive pricing decisions — from defining key metrics and building dashboards to running A/B tests, developing statistical models, and designing data-driven strategies that improve pricing accuracy and conversion. The work spans both structured, end-to-end projects and fast-paced, ad-hoc analyses that leverage statistical inference and modeling to uncover insights and shape business strategy.

What You’ll Need

• 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
• Bachelor’s or Master’s degree in a quantitative field (Statistics, Economics, Computer Science, Applied Math, Engineering, or related).
• 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.

What You’ll Do

• 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.
• Synthesize and communicate findings through clear, actionable insights and recommendations to senior leadership, influencing company-level pricing strategy.

The base pay range for this position

is

$130,000.00 - $182,600.00

annually, plus RSUs and bonuses. Pay

within this range varies by work location

and may also depend on your qualifications, job-related knowledge, skills,

and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.