About the role
Airalo is hiring a Staff Data Scientist, Pricing to build the analytical and machine learning capability that pricing runs on, from demand modelling through to the systems that recommend price. The company has already invested in the foundational data and infrastructure that pricing decisions depend on, so the missing piece is the capability on top: models the business trusts, experiments that settle pricing questions with evidence, and economics defined once so they hold consistently across Commercial, Product and the customer experience.
The arc of the role runs from measurement to prediction to prescription, covering how demand responds to price, forecasting that response, and ultimately building the models that recommend the price itself. Airalo is fully remote by design and genuinely global, with a team of 400+ people across 60+ countries. English is the main working.
Highlights
- Build pricing models from demand measurement through to price recommendation
- Work across Commercial, Product and customer experience with shared economics
- Join a fully remote, globally distributed team of 400+ people
- Start from existing data and infrastructure rather than from zero
This recap is dataskew's editorial summary, not the company's copy.