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Courtyard.io

Data Science Senior Manager

Reposted 22 Days Ago
Remote
Hiring Remotely in United States
Expert/Leader
Remote
Hiring Remotely in United States
Expert/Leader
Lead a data science team at Courtyard.io to drive data-driven decisions, build predictive models, and enhance marketing strategies. Manage analytics workflows and collaborate with cross-functional teams.
The summary above was generated by AI

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.

Job Summary 


We’re looking for a Data Science Senior Manager to build and lead our data organization. You’ll play a critical role in shaping how Courtyard uses data to make business decisions, optimize our marketing strategy, ensure quality product and financial metrics, and deliver the best experience for our collectors and sellers. This is a hands-on leadership role. You’ll set the vision, understanding the data needs of the entire company, and get into the details, writing SQL and Python code, building predictive models, and guiding the team on experimentation and analytics.


What You’ll Do 


  • Lead a growing team of data scientists and analysts, fostering a culture of curiosity, rigor, and impact.
  • Partner cross-functionally with Product, Operations, Growth, and Finance leadership to identify opportunities to leverage data for better decisions and experiences.
  • Own our data stack and analytics workflows, ensuring we have the right pipelines, tooling, and governance in place.
  • Build predictive and optimization models for inventory forecasting, user behavior, and marketplace dynamics.
  • Design and oversee experimentation frameworks, from A/B testing to cohort analyses.
  • Drive reporting and data visualization, enabling teams to self-serve insights via dashboards and metrics.
  • Contribute hands-on in SQL and Python — this role requires someone who can still write and review code regularly.

What You’ll Bring 

  • 10+ years of experience in data science, analytics, or data engineering, with at least 2 years managing a team and interacting with cross-functional leadership.
  • Deep technical proficiency in SQL and Python (e.g., Pandas, NumPy, Scikit-learn).
  • Strong understanding of data modeling, ETL, and statistical analysis.
  • Proven track record at an e-commerce, consumer tech, or B2C brand, ideally one that’s scaled fast.
  • Experience using data to drive customer acquisition, retention, and monetization strategies.
  • Excellent communicator — able to translate complex data concepts into actionable insights for non-technical teams.
  • Excited by the idea of building from scratch, moving fast, and having a direct impact on business growth.

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

Top Skills

Numpy
Pandas
Python
Scikit-Learn
SQL
HQ

Courtyard.io San Francisco, California, USA Office

San Francisco, California, United States, 94109

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