Descripción de la oferta
pbLead Data Scientist - Industrial Digital Platform /b /ppbr/ppOur Industrial Digital Platform team is looking for a Lead Data Scientist to drive the development of advanced machine learning solutions applied to industrial and biological processes. /ppWe are building a cutting-edge platform focused on optimising real-world operations through data, combining IoT, advanced analytics, and scalable cloud technologies. This is a high-impact role at the intersection of data science, engineering, and industrial innovation. /ppThis is a strategic and hands-on leadership role, ideal for someone who can define technical vision while managing and mentoring a team, and staying close to the modelling work when needed. /ppbr/ppbConditions /b /pulliPermanent contract /liliHybrid model: 1 day of remote work per week /liliWorking hours: 9:30 am to 6:30 pm (Fridays until 14:30h) /liliLocation: Gta. Mar Caribe 1, Hortaleza | 28043, Madrid | Spain /li /ulpbr/ppbMission of the role /b /ppLead the data science function within the industrial digital platform, defining modelling strategy and delivering high-impact predictive solutions to optimise industrial and biological processes. /ppYou will act as the technical reference for data science, ensuring robust methodologies, scalable solutions, and strong alignment with engineering and operational teams. /ppbr/ppbKey responsibilities /b /ppbr/ppbTechnical Leadership: /b /pp• Define the data science roadmap, modelling standards, and architectural decisions /pp• Act as the reference for methodological rigour and best practices /ppbr/ppbPeople Management: /b /pp• Lead, mentor, and grow a team of data scientists and analysts /pp• Support career development and foster a strong technical culture /ppPredictive Modelling: /pp• Design, build, and deploy machine learning models in production environments /pp• Own the full lifecycle from problem framing to deployment /ppbr/ppbProcess Optimisation: /b /pp• Collaborate with process and biological engineers to improve efficiency, yield, and reliability /pp• Translate domain knowledge into data-driven models /ppbr/ppbIoT Time-Series Analysis: /b /pp• Work with high-frequency sensor data and develop real-time inference pipelines /pp• Build robust feature engineering and signal processing workflows /ppbr/ppbCross-functional collaboration: /b /pp• Partner with Data Engineers, architects, and operations teams /pp• Ensure models are integrated, monitored, and used in decision-making /ppbr/ppbMLOps Governance: /b /pp• Implement best practices in model versioning, monitoring, and reproducibility /pp• Ensure scalable and reliable ML operations /ppbr/ppbProfile /b /pp• 8+ years of experience in Data Science or Applied Machine Learning /pp• Proven experience deploying models in production /pp• Strong expertise in time-series modelling and IoT data /pp• Experience in industrial or biological environments (biogas, energy, chemical, etc.) /pp• Advanced Python skills (pandas, scikit-learn, PyTorch or TensorFlow) /pp• Experience leading data science teams /pp• Strong communication skills with non-technical stakeholders /pp• Degree in Data Science, Statistics, Engineering, or related field (PhD is a plus) /ppbr/ppbCore ML Skills /b /pp• Strong knowledge of supervised and unsupervised learning techniques /pp• Experience in time-series forecasting (ARIMA, LSTM, TFT) /pp• Feature engineering on sensor and IoT data /pp• Solid understanding of experimentation and model validation /pp• Experience with explainability tools (SHAP, LIME) /pp• Knowledge of optimisation methods (simulation, reinforcement learning, etc.) /ppbr/ppbDatabricks MLOps Stack /b /pp• Strong experience with Databricks (Delta Lake, MLflow, Workflows, Model Serving) /pp• Experience orchestrating ML pipelines end-to-end /pp• Model versioning, experiment tracking, and reproducibility /pp• Deployment of models for real-time and batch inference /pp• Monitoring model performance and data drift /pp• Familiarity with Azure Machine Learning and Azure ecosystem (ADLS Gen2, CI/CD) /ppbr/ppbNice to Have /b /pp• Experience with digital twins /pp• Physics-informed modelling /pp• Real-time streaming (Event Hubs, Stream Analytics) /pp• Background in bioenergy or biological processes /pp• Knowledge of regulatory frameworks (ISO, GDPR) /ppbr/ppbLanguages /b /pp• English — Fluent (required) /pp• Spanish — Highly valued /pp• Italian — Highly valued /ppbr/ppbWhat we offer /b /pp• Strategic role with real impact on industrial innovation /pp• Dynamic and fast-growing environment /pp• Opportunity to lead cutting-edge data science initiatives in the energy and industrial sector /ppbr/ppIf you’re interested, feel free to apply /p
