We are seeking a Senior Data Scientist with deep expertise in modeling the impact of extreme weather on electric grid infrastructure, with a particular focus on transmission outage prediction. In this role, you will design, build, and operationalize machine learning and statistical models that predict weather-driven outages and failures across transmission and distribution systems, directly supporting utility decision-making before and during extreme weather events.

You will work at the intersection of atmospheric science, power systems, and machine learning—combining mechanistic, physics-based understanding of infrastructure failure with data-driven probabilistic methods. Your models will feed real-time operational products used by utilities to anticipate outages, position crews, and manage grid risk during storms, extreme winds, and wildfire conditions.

RESPONSABILITIES
- Design, develop, and validate machine learning models to predict transmission outages driven by extreme weather, combining mechanistic and probabilistic approaches.




- Build spatio-temporal models that link weather forecasts to infrastructure failure risk, including probability of failure (POF) estimates for transmission and distribution assets.
- Develop models characterizing the interrelationship between transmission outages, extreme weather events, and wildfire ignition risk.
- Integrate heterogeneous datasets—weather model output, asset and infrastructure data, historical outage records, and geospatial layers—into robust, reproducible modeling pipelines.
- Operationalize research-grade models into fast, reliable production systems suitable for real-time forecasting workflows.
- Evaluate and benchmark model performance against state-of-the-art methods and clearly communicate accuracy, skill, and uncertainty to internal teams and utility customers.
- Collaborate with meteorologists, risk modelers, and software engineers to improve Technosylva’s outage and extreme weather product capabilities.

📌 Senior Data Scientist, Outage (España)
🏢 Technosylva
📍 España