Staff Data Scientist, Pricing & Revenue Optimization

Airalo; Spain (TX); On-site; USD 89,000 - 162,000; Full time

Job summary

Airalo is seeking a Staff Data Scientist, Pricing to build analytical and ML capabilities that support pricing decisions from demand modelling to recommended prices. You’ll leverage existing data and infrastructure to deliver models and experiments that inform Commercial, Product, and customer experience.

You will design pricing experiments with rigor, move models from exploration to production, and define the governance of price and cost data across the ecosystem, partnering with Commercial and

Qualifications

• Advanced degree or depth in econometrics, statistics or operations research.
• Hands-on ML lifecycle experience from feature engineering to deployment.
• Experience with pricing, monetisation or marketplace economics.

Responsibilities

• Build and own demand and elasticity modelling, quantifying how price affects volume across destination, duration, data tier, and customer segment.
• Develop ML models for demand forecasting and willingness‑to‑pay, from exploration to production with monitoring.
• Create prescriptive pricing by building optimization that converts forecasts into price recommendations under constraints.
• Design pricing experiments with rigorous statistics and apply causal methods where randomisation is limited.
• Define pricing within the data ecosystem, owning price, cost and package definitions for reporting and products.
• Partner with Commercial and Finance to connect pricing decisions to margins and revenue.
• Set analytical standards for pricing, ensuring evidence quality and model validation before live pricing.

Skills

Python

SQL

Machine learning

Econometrics

Experimentation

Pricing

Causal inference

Communication

Education

Advanced degree in Econometrics

Tools

dbt

LightDash

Job description

Airalo is seeking a Staff Data Scientist, Pricing to build analytical and ML capabilities that support pricing decisions from demand modelling to recommended prices. You’ll leverage existing data and infrastructure to deliver models and experiments that inform Commercial, Product, and customer experience.

You will design pricing experiments with rigor, move models from exploration to production, and define the governance of price and cost data across the ecosystem, partnering with Commercial and