Data Scientist

ABOUT THE ROLE We 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. WHAT YOU'LL NEED * 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. EDUCATION & EXPERIENCE 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 COMPENSATION Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees. All compensation parameters are based on experience. LI-RO 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.

The role involves developing and implementing advanced analytics to drive product strategy and enhance user experience by conducting deep-dive statistical analyses on large datasets. Responsibilities also include partnering with cross-functional teams, designing A/B tests, building data pipelines, and presenting strategic recommendations to leadership.

Candidates must possess advanced proficiency in SQL and strong skills in Python for data analysis, coupled with a deep understanding of statistics and experimental design, including A/B testing. A Bachelor's degree or higher in a quantitative field and 5+ years of relevant experience are required, with preference for experience in e-commerce or consumer-facing products.

• Unlimited PTO • Medical Insurance • Dental Insurance • Vision Insurance • Life Insurance • 401(k)

• Analyse de donnéesSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• SQL
• Python
• Statistics
• A/B Testing
• Experimental Design
• Data Analysis
• Data Visualization
• Data Pipelines
• Reporting Dashboards
• Communication
• Business Intuition

• Data & Analytics
• Science & Research
• Software
• Engineering

Formation minimale

Baccalauréat

Expérience minimale

8+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

4 jours par semaine