Staff Data Scientist, Pricing
Core
Build analytical and machine learning capabilities for dynamic pricing, including demand modeling, forecasting, and prescriptive optimization to recommend prices.
Role type
Staff Data Scientist (Pricing & Monetization)
Builds
Production ML models for demand forecasting, willingness-to-pay, and price recommendation systems.
Domain
Travel technology, eSIM marketplace, dynamic pricing
Deliverable
production ML models | product features
Required skills
demand and elasticity modeling, machine learning lifecycle management, optimization and decision science, causal inference and experimentation, data modeling and definition governance, Python ML stack, SQL
Preferred skills
dynamic/algorithmic pricing systems experience, marketplace/telecom/travel domain knowledge, Bayesian or hierarchical modeling, competitive price response modeling, dbt or semantic layer design
Technologies
Python, SQL, optimization algorithms, bandits, reinforcement learning
Responsibilities
Build and own demand and elasticity modeling; develop ML models for demand forecasting and willingness-to-pay; build optimization layers for price recommendations; design and analyze pricing experiments with statistical rigor; define governed pricing and economics data; partner with Commercial and Finance on margin and revenue; set analytical standards for pricing validation.
Seniority
Staff, hands-on IC with strategic impact
