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Live In Extreme Weather Jobs (NOW HIRING)

Climate Adaptation Knowledge Exchange

This call is designed to address gaps in knowledge by supporting the ethical collection of ... The extreme weather event under study must have occurred within 6 months or less of proposal ...

Boys Town

Live-In Houseparents

Oviedo, FL · On-site

$100K/yr

Live on-site in a Boys Town Family Home and provide direct care for 6-8 at-risk youth through ... regardless of weather or time of day/night. Subject to outside environmental conditions ...

Jennie-O

Bird Mover, 3rd Shift-Faribault, MN

Faribault, MN · On-site

$17 - $20.75/hr

Follow Live Haul sanitation procedures perform other duties as assigned by the supervisor ... Able to work in extreme weather conditions * Able to wear respiratory protection equipment * Able ...

Jennie-O

Bird Movers-Faribault, MN

Faribault, MN · On-site

$17.25 - $20.75/hr

Follow Live Haul sanitation procedures perform other duties as assigned by the supervisor ... Able to work in extreme weather conditions * Able to wear respiratory protection equipment * Able ...

JJP Excavating LLC

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Excavation Labor

Kendallville, IN · On-site

$18 - $28/hr

Ability to work in extreme weather Excavating company seeking laborer. Job includes shoveling, shootin grade, use of handheld tools, and pipe laying. Experience is preferred, but not required. Pay is ...

JJP Excavating LLC

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Excavation Labor

Kendallville, IN · On-site

$18 - $28/hr

Ability to work in extreme weather Excavating company seeking laborer. Job includes shoveling, shootin grade, use of handheld tools, and pipe laying. Experience is preferred, but not required. Pay is ...

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Live In Extreme Weather information

What is the difference between Live In Extreme Weather vs Live In Cold Climate?

AspectLive In Extreme WeatherLive In Cold Climate
Work EnvironmentHigh temperatures, storms, hurricanes, or heatwavesConsistently cold temperatures, snow, ice, and winter conditions
Required CertificationsWeather-specific safety training, emergency responseCold weather safety, hypothermia prevention, winter driving
Industry UsageConstruction, oil & gas, emergency services in volatile climatesMining, forestry, utility work in cold regions

Live In Extreme Weather jobs involve working in environments with high heat, storms, or other severe conditions, requiring specialized safety training. In contrast, Live In Cold Climate roles focus on cold temperatures, snow, and ice, with safety protocols for winter conditions. Both roles demand specific certifications and are common in industries like construction, energy, and emergency services, but they differ mainly in climate and safety considerations.

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Live In Extreme Weather jobs near you
Infographic showing various Live In Extreme Weather job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 66% Full Time, 29% Part Time, and 3% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Senior Data Scientist, Outage & Extreme Weather

Denver, CO • On-site

Technosylva
Software Development • 51 - 200 employees
Learn more about Technosylvaexternal

Full-time

Posted 3 days ago

New

Job description

About Technosylva
Technosylva is a global leader in wildfire and extreme weather risk mitigation software. The Company's market-leading solutions, enhanced by AI and machine learning capabilities, provide real-time and predictive insights to support electric utility, insurance and government agency customers.
Technosylva has provided critical solutions for the past 26 years. In 2022 the organization entered a period of significant growth and transformation with investment from TA Associates, a leading growth PE firm, scaling to about 175 employees and offering its product in over 10 countries. In 2024 General Atlantic, a leading global growth investor, announced a strategic growth investment in Technosylva to support the company in its mission.
Role Overview
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.
  • Leverage agentic coding tools throughout the development lifecycle-using AI agents to accelerate model prototyping, pipeline development, testing, and documentation-while maintaining rigorous review and validation standards.

Requirements
Education
  • 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.

Professional Experience
  • Demonstrated experience developing transmission outage prediction models-this is a core requirement for the role.
  • 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.

Modeling & Technical Skills
  • Strong grounding in machine learning methods (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 (GeoPandas, ArcGIS or equivalent) and large multidimensional weather datasets.
  • Advanced Python skills (NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch) with the ability to write clean, well-documented, production-quality code; experience with R, SQL, or Julia is a plus.
  • Ability to optimize model runtime and computational workflows for real-time operational use.

Agentic Coding & AI-Assisted Development
  • Hands-on experience using agentic coding tools (Claude Code, Cursor, Copilot agents, or similar) as a core part of daily development workflows-not just autocomplete, but delegating multi-step coding tasks to AI agents.
  • Skilled at structuring work for AI agents: writing clear specifications, decomposing problems, and providing context so agents produce correct, maintainable code.
  • Strong judgment in reviewing and validating agent-generated code, especially for scientific correctness in modeling pipelines.

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