Lead/Senior Data Scientist
Role details
Job location
Tech stack
Job description
four strategic areas: Finance (forecasting and planning), Manufacturing & Supply Chain (optimization and demand planning), R&D (clinical trials and innovation), and transversal domains such as procurement and people analytics. The goal is to build scalable AI systems that generate clear, actionable insights with real business impact. The team's core stack and focus areas include: Core Technical Stack: Python + SQL (mandatory) Strong experience in machine learning and statistical modeling AWS (nice to have): Lambda, Step Functions Time Series Forecasting: ARIMA (widely used in traditional forecasting) Prophet (Meta/Facebook) Exponential Smoothing (ETS) LSTM / Deep Learning approaches for time series XGBoost applied to forecasting use cases Machine Learning & Data: Machine learning applied to demand and supply chain optimization Data pipelines and production-grade models MLOps (model deployment, monitoring, and lifecycle management) Generative AI applied to forecasting and decision-making
Requirements
use cases What they are looking for: High energy, motivation, and ownership mindset Curiosity and strong learning attitude Enjoyment of work with a healthy work-life balance Strong team fit and collaborative mindset Client-facing experience (especially for Principal/Lead profiles): ability to build trust, communicate effectively, and identify opportunities with clients Working conditions: Working hours: 09:00 - 18:00 Hybrid model: 2 days in office / 3 remote Locations: Madrid / Barcelona Contract: Permanent (indefinite) Work permit in Spain required English: minimum B2 high / C1 (non-negotiable requirement) If the requirements match your profile and you would like to learn more about the company and the project, please feel free to contact us and we will go over the details together.