Staff Data Scientist (Pricing)

Location: Remote across supported locations in Europe

Salary: UK £93,200–£139,800; Spain €77,600–€116,400; Western/Northern Europe €66,400–€166,800; Southern Europe €70,000–€137,000; Central & Eastern Europe €60,000–€117,000; South-Eastern Europe/Balkans €56,000–€100,000. Local market and cost-of-living differences determine the applicable range.

Company

hirify.global operates a global eSIM store that helps travelers access mobile data in more than 200 countries and regions.

What you will do

• Build and own demand and price-elasticity models across destinations, durations, data tiers, and customer segments.
• Develop, deploy, monitor, and retrain demand-forecasting and willingness-to-pay machine learning models.
• Build an optimisation layer that converts forecasts and elasticities into recommended prices subject to margin, competitive, and partner constraints.
• Design and analyse pricing experiments and apply causal methods when randomisation is not feasible.
• Define governed price, cost, and package-economics metrics across the data ecosystem.
• Partner with Commercial, Finance, and Product to connect pricing decisions to revenue and margin outcomes.

Requirements

• 7+ years of experience in data science, quantitative economics, or applied research, including pricing, monetisation, or marketplace economics.
• Experience with dynamic or algorithmic pricing systems in production.
• Advanced degree in Econometrics, Statistics, Operations Research, or a related field, or equivalent applied expertise in demand estimation.
• Hands-on machine learning experience across feature engineering, model selection, deployment, monitoring, and retraining.
• Strong experimentation, causal inference, optimisation, data modelling, Python ML, and SQL skills.
• English is the primary working language, including meetings and asynchronous communication.

Nice to have

• Experience in marketplace, telecom, travel, or subscription and usage-based businesses.
• Bayesian or hierarchical modelling for sparse segments and long-tail products.
• Competitive price-response modelling or experience with competitor pricing data.
• Familiarity with dbt, LightDash, or similar semantic and BI layers.
• Experience designing semantic or metric layers used by analytics and production systems.

Culture & Benefits

• Full-time, permanent employment.
• Fully remote work across supported European locations.
• Global team spanning more than 60 countries.
• High-trust environment with ownership, autonomy, and limited bureaucracy.
• Opportunities to learn and take on new challenges as the company grows.