Senior Data Scientist, Outage & Extreme Weather

🔥 18 hours ago

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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Technosylva

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1997

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

<Technosylva> is a provider of AI-driven wildfire and extreme weather risk mitigation software that delivers real-time forecasting, predictive simulations, and incident management tools for electric utilities, fire agencies, and insurers. Their cloud-based products (Wildfire Analyst, Tactical Analyst, fiResponse) offer situational awareness, operational decision support, and risk quantification to help customers plan, operate, and respond to wildfire and severe weather events.

📋 Description

• Design, develop, and validate machine learning models to predict transmission outages driven by extreme weather • Build spatio-temporal models linking weather forecasts to infrastructure failure risk, including probability of failure estimates for transmission and distribution assets • Develop models characterizing the relationship between transmission outages, extreme weather events, and wildfire ignition risk • Integrate 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 for real-time forecasting workflows • Evaluate and benchmark model performance against state-of-the-art methods • 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 products • Leverage agentic coding tools to accelerate model prototyping, pipeline development, testing, and documentation while maintaining rigorous review and validation standards

🎯 Requirements

• Ph.D. in Environmental Engineering, Atmospheric Science, Civil Engineering, Statistics, Data Science, or a related quantitative field strongly preferred • A master’s degree with substantial applied experience in weather-driven outage or infrastructure risk modeling will be considered • Demonstrated experience developing transmission outage prediction models • 5+ years of experience (academic or industry) applying statistical modeling and machine learning to grid reliability, storm outage prediction, or related energy-sector problems • Experience working with utilities, ISOs/RTOs, or grid operators on weather-related operational forecasting is highly valued • Track record of peer-reviewed publications, patents, or deployed production models in outage prediction, wildfire risk, or extreme weather impacts • Strong grounding in ensemble methods, neural networks, probabilistic models, and statistical modeling for spatio-temporal problems • Experience combining physics-based/mechanistic models with data-driven approaches for infrastructure failure prediction • Proficiency with geospatial data and tools, including GeoPandas, ArcGIS or equivalent, and large multidimensional weather datasets • Advanced Python skills, including NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch; experience with R, SQL, or Julia is a plus • Ability to optimize model runtime and computational workflows for real-time operational use • Hands-on experience using agentic coding tools such as Claude Code, Cursor, Copilot agents, or similar as a core part of daily development workflows • Skilled at writing clear specifications, decomposing problems, and providing context for AI agents • Strong judgment in reviewing and validating agent-generated code, especially for scientific correctness in modeling pipelines

🏖️ Benefits

• Competitive annual salary • Private health insurance • Flexible benefits plan, allowing you to tailor part of your compensation package to your personal needs • Annual bonus based on individual performance and company results • Flexible working hours • Remote work options