Senior Data Scientist

About Courtyard

Courtyard.io is one of the fastest-growing collectibles startups. From cards to coins, we’re making it faster, easier, and more exciting than ever to discover, collect, and cash out instantly.

We’re not just another marketplace. With thrilling pack rips, instant liquidity, and seamless vaulting, Courtyard.io delivers the ultimate collecting experience. Whether you’re investing, trading, or curating your dream collection, we’ve built a platform that’s trusted, simple, and built for speed.

And we’re just getting started. We’re a remote-first company hiring across all functions to push the boundaries of what’s possible in collectibles and digital ownership.

About the role

We are actively recruiting a Senior 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.

What You'll Do

• 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.
• 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.

What You'll Bring

• You are passionate about data and thrive in a fast-paced, collaborative environment.
• 4+ 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.
• Experience with Python or R for data analysis and modeling is a plus.
• Comfortable with dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar).
• You take ownership of your work with a leadership mindset, demonstrating initiative, accountability, and the ability to drive projects forward independently.
• Proven ability to work independently on a remote-first team, with experience in asynchronous communication. Top-notch communication skills are essential.

What You'll Get in Return

• A dynamic and engaging environment focused on fostering real growth and innovation
• Opportunities to create amazing products that our customers truly love and value
• Comprehensive health insurance packages with dependent coverage
• Competitive salary with ample opportunities for career advancement and development
• Enjoy the flexibility of a fully remote work environment
• 401(k) plan with a 4% employer match to help you plan for the future
• $100 monthly dogfooding stipend to support trying out our products firsthand
• Access to employee wellness programs designed to support your overall well-being