Staff Data Scientist – Wildfire

🕒 August 17

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Overstory

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚡ Energy

☁️ SaaS

Artificial Intelligence • Energy • SaaS

Overstory is a company that provides software solutions for utilities to optimize resources, mitigate vegetation risk, and manage infrastructure more intelligently, particularly to prevent power outages and wildfires. The company offers actionable vegetation intelligence by leveraging advanced technology such as artificial intelligence and remote sensing, combining satellite and aerial imagery with local data such as asset locations and wildfire maps. Overstory aims to improve safety and reliability of power delivery by enabling data-driven decision-making and future-proofing utilities' operations programs.

📋 Description

• Lead research into estimating vegetation structure, fuel conditions, and wildfire risk from satellite, LiDAR, and environmental data across diverse geographies • Design validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and real-world-impact error analysis • Prototype and refine machine-learning modeling approaches and partner with ML engineers to translate them into production systems • Integrate fire science, fuel models, and fire behavior frameworks with data-driven methods • Define scientific standards for experimentation, reproducibility, and model interpretability • Communicate research findings to engineers, product teams, customers, and the wildfire science community • Mentor ML engineers on scientific methodology and domain reasoning

🎯 Requirements

• 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote sensing, atmospheric science, or a related quantitative field • Deep expertise in remote sensing and geospatial analysis • Experience working with satellite imagery and large-scale environmental datasets • Strong statistical modeling and machine learning skills in Python • Proficiency with tools such as GeoPandas, scikit-learn, PyTorch, or XGBoost • Track record designing validation studies and evaluation frameworks for environmental or geospatial models • Excellent communication skills for technical and non-technical audiences • North America time zone availability: NST, AST, EST, CST, MST, or PST • Candidates must be living and working in one of the eligible countries listed by the company

🏖️ Benefits

• Competitive, location-specific compensation and benefits • Flexible, autonomous and collaborative working environment rooted in trust • Home office stipend • Co-working budget • Ongoing education budgets • Annual in-person team gathering event • Option to occasionally meet up for in-person collaboration • Mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve the climate crisis