Responsibilities
- Develop and implement a system for dynamically adjusting prices based on demand
- Examine over four years of reservation data from active restaurant partners to identify demand trends
- Create forecasting models that consider variables such as table configuration, day of week, time of booking, lead time, and seasonal fluctuations
- Build a pricing engine capable of modifying prices in response to live demand indicators
- Collaborate with engineers to embed predictive models into the core platform
Benefits
- Immediate impact — solutions are deployed, not held in research queues
- Flexible schedule — part-time availability, fully remote work, supportive of asynchronous communication
- High degree of independence — shape technical strategy, not just follow predefined requirements
- Engaging challenge — apply dynamic pricing in the restaurant industry, a less-mapped space compared to travel sectors
Work Arrangement
Remote (Worldwide)
Other
- Part-time hours
- Fully remote
- Async-friendly
