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Airalo is the world's first eSIM store, helping millions of travelers access affordable mobile data in 200+ countries and regions. The company is fully remote, with 400+ employees across 60+ countries, and is building a product used daily by travelers worldwide.
You will join as Staff Data Scientist, Pricing, responsible for building the analytical and machine learning capability that powers Airalo's pricing strategy. The role spans the full arc from measurement through prediction to prescription: understanding how demand responds to price changes, forecasting future demand responses, and ultimately building models that recommend optimal pricing.
The company has already invested in foundational data infrastructure. Your focus will be on building the advanced capability layer: developing models the business trusts, designing experiments that settle pricing questions with evidence, and defining economics once so they hold consistently across Commercial, Product, and customer experience.
Key responsibilities include:
- Developing demand models that quantify price elasticity and customer behavior
- Building forecasting models to predict demand under different pricing scenarios
- Creating recommendation systems that suggest optimal pricing across Airalo's 200+ markets
- Designing and running pricing experiments with rigorous statistical methodology
- Establishing consistent economic definitions and metrics across teams
- Collaborating with Commercial, Product, and customer-facing teams to translate insights into action
This is a staff-level individual contributor role focused on high-impact analytical work. You'll work in a fully remote, genuinely global environment where English is the primary working language. The role requires comfort with async communication and working across distributed teams.
