Staff Data Scientist - Wildfire
New
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OverstoryClimate Technology
United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada, North America (NST, AST, EST, CST, MST, PST)Full-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonMachine LearningPyTorchData sciencescikit-learn
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, including 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 of designing validation studies and evaluation frameworks for environmental or geospatial models
- Excellent communication skills, with the ability to make complex scientific work legible across technical and non-technical audience
Responsibilities
- Lead research into how vegetation structure, fuel conditions, and wildfire risk can be estimated from satellite, LiDAR, and environmental data across diverse geographies
- Design rigorous validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis tied to real-world impact
- Prototype and refine ML modeling approaches, then partner with ML engineers to translate them into production systems
- Integrate established fire science, such as fuel models and fire behavior frameworks, with data-driven methods
- Define scientific standards for experimentation, reproducibility, and model interpretability across the modeling organization
- Communicate research findings clearly to engineers, product teams, customers, and the broader wildfire science community
- Mentor ML engineers on scientific methodology and domain reasoning
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