Staff Data Scientist, Pricing

What You'll Do:

• 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, and take them from exploration through to production.
• Design and analyse pricing experiments with statistical rigour, and apply causal methods where clean randomisation isn't possible.

What You'll Bring:

• 7+ years in data science, quantitative economics, or applied research, including pricing or marketplace economics work.
• Hands-on machine learning experience across the full lifecycle, from feature engineering to deployment.
• Strong data modelling instincts, thinking in reusable definitions and single sources of truth.

Why People Join Us:

• We offer trust to own what you do, space to focus without constant layers of process.
• Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted.
• Opportunities to learn, take on new challenges, and make a real impact from anywhere in the world.