Data Scientist

We are seeking a highly analytical and strategic Data Scientist to join our Pricing team at Opendoor. This role drives insights, experimentation, and algorithmic improvements shaping how we price, buy, and sell homes. You'll lead analytical initiatives, define metrics, build dashboards, run A/B tests, develop statistical models, and design data-driven strategies to improve pricing accuracy and conversion. The work involves both structured projects and fast-paced ad-hoc analyses, leveraging statistical inference and modeling to uncover insights and shape business strategy.

Must Have

• Lead analytical deep dives to diagnose pricing performance and identify opportunities.
• Design and implement robust metrics and pricing frameworks.
• Run A/B tests and advanced statistical analyses (causal inference, regression modeling).
• Develop and iterate predictive and statistical models for market behavior and pricing strategy.
• Partner with Product, Engineering, Research and Operations for experimentation roadmaps and model deployment.
• Develop and automate dashboards and data pipelines for real-time tracking.
• Prototype and operationalize data-driven strategies to enhance pricing accuracy.
• Synthesize and communicate findings to senior leadership, influencing company-level pricing strategy.
• 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).
• Bachelor’s or Master’s degree in a quantitative field.
• 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.

Good to Have

• Experience with large-scale, distributed data processing (e.g., Spark/PySpark, Dask).
• Experience with modern data orchestration tools (e.g., Airflow or dbt).

Perks & Benefits

• Unlimited PTO
• Medical/dental/vision insurance
• Life insurance
• 401(k)

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.