Staff Data Scientist: Lead Data Strategy (Remote)

Courtyard

United States

On-site

USD 140,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) plan with 4% employer match
Dogfooding stipend
Wellness programs
Fully remote work environment
Career development opportunities

Job summary

Courtyard.io, a remote-first collectibles startup, seeks a Staff Data Scientist who operates like a founder within the data function. You will identify where DS can move the business, dive in proactively, and deliver concrete recommendations across marketing, product, finance, and operations.

You should think in ranges and likely outcomes, pairing with AI to handle the technical lift while still driving research and insights.

Qualifications

  • 6+ years industry DS/analytics experience at senior/staff-level scope.

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

Skills

DS/Analytics
Cross-functional
Communication
Experimentation

Tools

Python
SQL

Job description

Courtyard.io, a remote-first collectibles startup, seeks a Staff Data Scientist who operates like a founder within the data function. You will identify where DS can move the business, dive in proactively, and deliver concrete recommendations across marketing, product, finance, and operations.

You should think in ranges and likely outcomes, pairing with AI to handle the technical lift while still driving research and insights.

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