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See allResponsibilities:
- Analyze reservation data to understand demand patterns
- Build predictive models accounting for various factors
- Design a dynamic pricing engine integrated into the Peak platform
Qualifications:
- Pursuing or recently completed a degree in Computer Science, Statistics, Applied Math, or a related field
- Hands-on experience with ML beyond coursework
- Comfortable with Python and standard ML tooling
Why This Role:
- Real impact and fast work implementation
- Flexibility with part-time hours, fully remote, and async-friendly work
- Autonomy to drive technical direction
Peak
Peak is redefining reservations and views them as unique experience tickets, created with hospitality experts. They are a small, remote team of approximately 10 people based in NYC, bringing their Peak experience to the top dining scene.