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.
Build dynamic pricing algorithms that optimize prices in near‑real‑time based on competitor actions, demand signals, inventory levels, and strategic constraints
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
Set technical standards for data science work: code quality, testing, documentation, peer review processes
Conduct thorough code reviews for other data scientists, providing constructive feedback and ensuring quality
Mentor mid‑level data scientists on modeling techniques, coding best practices, and business acumen
Architect ML system design for pricing/promo products in collaboration with BI engineering teams
Contribute to technical hiring by conducting data science interviews and assessing candidate depth
Translate complex model outputs into clear, actionable insights for commercial teams (category managers, regional pricing leads)
Design and analyze A/B tests and quasi‑experiments to validate models and measure business impact in production
Partner with regional teams to underst

📌 Data Analysis Scientist (Madrid)
🏢 Avolta
📍 Madrid