Staff Data Scientist, Pricing

Stack

Responsibilities

• ▹Build and own the demand and elasticity modelling capability, quantifying how price affects volume across destination, duration, data tier, and customer segment
• ▹Develop machine learning models for demand forecasting and willingness-to-pay, taking them from exploration through to production with monitoring and retraining
• ▹Build the optimisation layer that turns forecasts and elasticities into recommended prices under margin, competitive, and partner constraints
• ▹Design and analyse pricing experiments with statistical rigour, applying causal methods where clean randomisation isn't possible
• ▹Define pricing within the data ecosystem, owning the governed definitions of price, cost, and package economics
• ▹Partner with Commercial and Finance to connect pricing decisions to margin and revenue
• ▹Set the analytical standard for pricing at Airalo

Requirements

• ▹7+ years in data science, quantitative economics, or applied research, including pricing, monetisation, or marketplace economics work that demonstrably changed decisions
• ▹Experience with dynamic or algorithmic pricing systems in production
• ▹An advanced degree in Econometrics, Statistics, Operations Research or similar, or equivalent applied depth in demand estimation
• ▹Hands-on machine learning experience across the full lifecycle, from feature engineering and model selection through to deployment
• ▹Familiarity with optimisation methods

Soft skills

About the company

Airalo is the world's first eSIM store, helping millions of travelers access affordable mobile data in 200+ countries and regions, with a fully remote team of 400+ people across 60+ countries.