Staff Data Scientist

Role Description

Courtyard is hiring a Staff Data Scientist who operates more like a founder within the data function than a traditional big-tech analyst — someone self-driven enough to spot where DS can move the business, dig in unprompted, and land on a recommendation, not just an observation. You'll work across marketing, product, finance, and operations, in a business with a genuinely probabilistic core, so you should think naturally in ranges and likely outcomes. You don't need to be a deep technical expert, but you shouldn't be lost around engineering and data infrastructure either — able to pair with AI to push through the technical parts, not just do the research and hand off the rest.

What You'll Do

• Proactively find where DS can create leverage across marketing, product, finance, and operations
• Lead ambiguous, high-stakes investigations end-to-end — launches, marketing, pricing, product, ops bottlenecks — to a clear recommendation
• Reason rigorously under uncertainty — comfortable with ranges and simulated outcomes, not just point estimates
• Dig into root cause yourself, across systems, without much hand-holding
• Own core data models and metric definitions, pairing with AI on the deep technical lifting rather than needing it handed off
• Push self-serve, AI-assisted analytics so fewer things require a dedicated data scientist
• Set the bar for rigor and judgment across the team

Qualifications

• Self-driven — finds the valuable problem before it's handed to you, doesn't stop at "here's what the data shows"
• Comfortable with real ambiguity and messy system — digs until you understand what's happening
• Broad enough technically to navigate engineering/data infra and pair with AI on the hard parts, not just research
• Strong quantitative intuition, including reasoning under uncertainty
• Experience spanning multiple functions (marketing, product, finance, operations), not one narrow domain
• Sharp communicator — turns analysis into recommendations leadership can act on
• 6+ years industry DS/analytics experience at senior/staff-level scope
• Bonus: background in a simulation- or probability-heavy domain (quant trading, gaming, statistics/economics)

Benefits

• 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