The role involves advanced analytics to drive product strategy, deep statistical analysis to uncover user behavior insights, A/B testing, building data pipelines, and presenting findings to leadership.
About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.
About the RoleWe are seeking an exceptional Senior Data Scientist to join our centralized Data organization. In this role, you will be embedded within our consumer and seller experience groups, working closely with cross-functional partners across product, engineering, design, and leadership. You will leverage data to generate deep insights that drive product strategy and create a world-class experience for our users. You'll work with terabytes of data to understand user behavior and directly impact customer satisfaction and business growth.
What You'll Do- Develop and implement advanced analytics to drive product strategy and enhance the consumer and seller experience.
- Conduct deep-dive statistical analyses on large datasets to uncover user behavior insights and identify key business opportunities.
- Partner with product, engineering, and operations teams to identify opportunities to improve the user journey through data-driven insights.
- Design and execute A/B tests and other experiment types, like multi-armed bandit tests, to measure the impact of product changes and optimize the user experience.
- Build scalable data pipelines and reporting dashboards to deliver insights to stakeholders.
- Present findings and strategic recommendations to executive leadership.
- Contribute to the team and company knowledge base.
- Advanced proficiency in SQL for complex data manipulation and analysis.
- Strong skills in Python for data analysis and visualization.
- Deep understanding of statistics, A/B testing, and experimental design.
- Excellent communication skills with the ability to present to executive leadership.
- Strong business intuition and the ability to translate technical findings into business recommendations.
- A self-motivated individual with a desire to solve complex, open-ended problems.
- Bachelor's degree or higher in a quantitative field such as Statistics, Economics, Mathematics, or Computer Science.
- 8+ years of experience in data science, product analytics, or a similar quantitative role.
- 3+ years of experience in e-commerce, two-sided marketplaces, or consumer-facing products preferred.
What We Offer
- Executive-level visibility with a direct impact on core business metrics.
- Opportunity to work on high-impact analytics projects that shape product strategy.
- Hybrid work model: 4 days in office, 1 day remote flexibility.
- Collaborative culture with cross-functional team integration.
- A fast-paced, high-growth environment with significant learning opportunities
#LI-RO
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