Staff Data Scientist, Pricing

📋 Description

• Build demand and elasticity modelling to quantify price impact on volume.
• Develop ML models for demand forecasting and willingness-to-pay; deploy with monitoring and
• Move from predictive to prescriptive pricing via an optimisation layer under constraints.
• Design pricing experiments with statistical rigour; apply causal methods when randomisation is
• Define pricing within Airalo's data ecosystem; govern price, cost and package definitions.
• Partner with Commercial and Finance to connect pricing to margin and revenue.

🎯 Requirements

• 7+ years in data science, quantitative economics, or applied research with pricing impact.
• Experience with dynamic/algorithmic pricing in production.
• Advanced degree in Econometrics, Statistics, OR or equivalent; demand estimation and identification
• Hands-on ML across lifecycle; feature engineering to deployment.
• Familiarity with optimisation/decision-science methods to convert predictions to actions.
• Proven experimentation design and defended experiments with decision frameworks.

🎁 Benefits

• Location: Remote
• Contract: Full-time, permanent
• Languages: English required for meetings and async communication