PURPOSE OF THE ROLE
The Integral Data Scientist will be the technical leader responsible for developing advanced analytical models and machine learning systems that optimize pricing decisions and promotional strategies across 5,500+ locations with millions of SKUs globally. This hands‑on technical leadership role requires you to spend 60‑70% of your time building models, writing production‑quality code, and architecting ML systems, with the remaining time on technical mentorship and translating complex models into actionable insights for commercial teams. You will work from Madrid or Milan with hybrid flexibility.
RESPONSIBILITIES
Advanced Modeling & Algorithm Development
Develop price elasticity models using econometric techniques (regression, mixed effects models, instrumental variables) to estimate demand curves at SKU‑category‑location levels
Build dynamic pricing algorithms that optimize prices in near‑real‑time based on competitor actions, demand signals, inventory levels, and strategic constraints
Create price architecture frameworks (zones, tiers, good‑better‑best)
using clustering, segmentation, and optimization techniques
Design margin optimization models that balance volume and profitability trade‑offs
Build causal inference models to measure true incrementality of promotions, accounting for cannibalization and pull‑forward effects
Develop promotion ROI prediction models that recommend optimal mechanics (% discount, BOGO, bundles), timing, and target segments
Create promotion planning optimization algorithms that maximize ROI under budget constraints while avoiding overlap
Implement models using Python (pandas, scikit‑learn, statsmodels, PyMC3, XGBoost) with production‑quality code
Build robust data pipelines (Airflow, Spark) for pricing, sales, competitor, and promotional data at scale
Deploy models to production (AWS/GCP/Azure) with proper monitoring, alerting, and automated retraining workflows
Technical Leadership & Collaboration
Set techni
📌 Global Data Scientist (Madrid)
🏢 Avolta
📍 Madrid