Staff Data Scientist

Courtyard Inc.
Remote

About The Position

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.

Requirements

  • 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

Nice To Haves

  • background in a simulation- or probability-heavy domain (quant trading, gaming, statistics/economics)

Responsibilities

  • 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

Benefits

  • 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
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