Staff Data Scientist, Pricing

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Airalo

WebsiteLinkedInAll Job Openings

51 - 200 employees

📡 Telecommunications

✈️ Travel

Telecommunications • Technology • Travel

Airalo is the world's first eSIM store that provides digital SIM cards (eSIMs) to travelers in over 200 countries and regions globally. The company offers an innovative solution to avoid high roaming charges by allowing users to purchase and activate eSIMs via its app, ensuring instant connectivity without the need for physical SIM cards. Airalo caters to various travelers by providing local, regional, and global eSIMs with transparent, prepaid pricing plans, supported by 24/7 customer service. The platform also supports partnership through APIs and offers incentives such as referral credits. Airalo represents a modern approach to global mobile connectivity, making it an essential tool for frequent travelers.

📋 Description

• Build and own demand and elasticity modelling capability across destination, duration, data tier, and customer segment • Develop machine learning models for demand forecasting and willingness-to-pay, taking them from exploration through production with monitoring and retraining • Build the optimisation layer that converts forecasts and elasticities into recommended prices under margin, competitive, and partner constraints • Design and analyse pricing experiments with statistical rigour and apply causal methods where randomisation is not possible • Define governed pricing, cost, and package-economics definitions within the data ecosystem • Partner with Commercial and Finance to connect pricing decisions to margin and revenue and size opportunities • Set the analytical standard for pricing, including evidence requirements and model or recommendation validation • Build analytical capability from raw data and business questions into repeatedly used commercial tools • Connect financial, product, and operational analysis to financial outcomes • Translate analytical rigour into commercial reality while partnering with Commercial and Product

🎯 Requirements

• 7+ years in data science, quantitative economics, or applied research, including pricing, monetisation, or marketplace economics work that changed decisions • Experience with dynamic or algorithmic pricing systems in production • Advanced degree in Econometrics, Statistics, Operations Research, or similar, or equivalent applied depth in demand estimation and identification problems • Hands-on machine learning experience across the full lifecycle, from feature engineering and model selection through deployment • Familiarity with optimisation and decision-science methods, including constrained optimisation, bandits, or reinforcement learning • Proven experimentation expertise, including designing and defending experiments and understanding decision frameworks and failure modes • Experience building analytical capability from raw data and business questions into repeatedly used commercial tools • Strong data modelling instincts and experience with reusable definitions and single sources of truth • Ability to work across financial, product, and operational data and connect analysis to financial outcomes • Fluency in the Python ML stack and strong SQL • Engineering hygiene enabling others to run and maintain code • Excellent communication skills, including explaining methodological arguments • Self-starter mindset and ability to bring structure in ambiguity • Comfort using AI tools to augment analytical work • Comfortable communicating in English in meetings and asynchronously

🏖️ Benefits

• Full-time, permanent employment • Fully remote work • Salary range adjusted by local market rates and cost of living • Equal-opportunity employer • Reasonable accommodations upon request for individuals with disabilities throughout the job interview process