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.
RESPONSIBILITIES 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.
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📌 Data Science Data Science Senior Data Scientist (La Mancha)
🏢 Technosylva
📍 La Mancha