We are actively recruiting a Staff Data Scientist to help revolutionize the way people own and collect. At Courtyard.io, you’ll will play a key role in leveraging data to improve user retention, optimize marketplace efficiency, and drive product strategy. This role requires expertise in SQL, a deep understanding of user behavior analytics, and the ability to think strategically about both peer-to-peer and centralized marketplace models. You will join a lean and experienced remote-first team of engineers that prioritizes technical ingenuity, authentic communication, and a get-it-done attitude. You’ll own core parts of our data infrastructure and work directly with the CEO and heads of engineering, marketing and finance to shape our products, business decisions and roadmap.
Responsibilities
User Analytics & Retention
- Analyze customer behavior to uncover insights that drive engagement, retention, and lifetime value.
- Develop metrics and models to identify churn risks and opportunities for re-engagement.
- Partner with product teams to experiment with features that improve user retention.
- Evaluate the health of our peer-to-peer and centralized marketplace models, identifying inefficiencies and opportunities for growth.
- Build and refine pricing, matching, and recommendation algorithms to optimize buyer and seller interactions.
- Analyze supply-demand dynamics and provide insights to balance liquidity.
Data Infrastructure & Experimentation
- Write complex SQL queries and pipelines to understand user behavior and empower experiments
- Design and analyze A/B tests to validate hypotheses and measure product impact.
- Implement production real-time systems to improve user experience and funnel conversion.
About You
- You are passionate about data and thrive in a fast-paced, collaborative environment.
- 6+ years of experience in a data science, analytics, or similar role in an e-commerce or marketplace environment.
- Proficiency in SQL and experience working with large datasets.
- Strong analytical and statistical skills, with a deep understanding of user retention and behavioral analytics.
- Experience with A/B testing, experimentation, and causal inference.
- Understanding of marketplace mechanics, including supply-demand dynamics, network effects, and pricing models.