Première détection par notre source: il y a 1 heure
Staff Data Scientist - Wildfire
@ Overstory
Canada
En bref
Overstory is hiring a Staff Data Scientist, Wildfire, a full-time remote role in North America, to lead the scientific foundation of its Fuel Detection Model. The work covers research into vegetation structure, fuel conditions and wildfire risk from satellite, LiDAR and environmental data, plus validation design and mentoring ML engineers. The posting requires 8+ years of applied research or data science experience and a North American time zone (NST to PST); a home office stipend and education budget are offered.
Responsabilités :
- Lead research on vegetation structure, fuel conditions and wildfire risk from satellite and LiDAR data
- Design validation methods, ground-truth strategies and error analysis
- Prototype ML models and partner with ML engineers for production
- Integrate fire science fuel models with data-driven methods
- Mentor ML engineers on scientific methodology
Résumé des exigences :
- 8+ years of applied research or data science experience
- Deep remote sensing and geospatial analysis expertise
- Strong Python statistics and machine learning skills
- Track record designing validation studies for geospatial models
- Excellent communication across technical and non-technical audiences
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 8 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Horaire flexible, Allocation de télétravail |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Overstory
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
AI-powered vegetation intelligence software for a safer, more resilient grid.
Description complète de l’entreprise
At Overstory, we're building AI-powered grid resilience software to support the energy transition. We combine satellites and machine learning to show utilities where they need to mitigate critical vegetation risk, helping them prevent outages, reduce threat of wildfire, and provide safer, more reliable power.
- Abonnés LinkedIn
- 15 349
- Personnes associées sur LinkedIn
- 118
- Bureaux déclarés
- 444 Somerville Ave, Somerville, Massachusetts 02143, US
- Weesperstraat 61, Amsterdam, Noord-Holland 1018, NL
- Catégories d’activité
- Artificial Intelligence
- Software
- InsurTech
- Analytics
- Artificial Intelligence (AI)
- Big Data
- Machine Learning
- Autres noms enregistrés
- Overstory
- Spécialités
- Satellite Imagery
- AI
- Deep Learning
- Forestry
- Artificial Intelligence
- Machine Learning
- Sustainability
- Vegetation Management
- Utility Operations
- Grid Resilience
- and Wildfire Risk Mitigation
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 68 066 997
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
At Overstory, we're building AI-powered grid resilience software to support the energy transition. We combine satellites and machine learning to show utilities where they need to mitigate critical vegetation risk, helping them prevent outages, reduce threat of wildfire, and provide safer, more reliable power.
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 51-200 employees |
| Siège social | Somerville, Massachusetts |
| Type d’organisation | Privately Held |
| Fondée en | 2018 |
| Spécialités | Satellite ImageryAIDeep LearningForestryArtificial IntelligenceMachine LearningSustainabilityVegetation ManagementUtility OperationsGrid Resilience |
| Offres sur Jobsy | 6 |
| Voir la page |
We are excited to add a Staff Data Scientist, Wildfire to our team. This individual will lead the scientific foundation of our Fuel Detection Model, the core engine that translates satellite and environmental data into an understanding of vegetation structure, fuel loads, and wildfire risk.
Working alongside ML engineers, and a product team, you'll define accuracy for our models, design the research and validation methods that prove it, and ensure our modeling choices are grounded in fire science and remote sensing fundamentals. This is a great opportunity for someone who is energized by open scientific questions with direct real-world stakes, and who wants their research to shape how utilities prevent catastrophic wildfires.
Time Zone Requirement: North America (NST, AST, EST, CST, MST, PST)
What You’ll Do
- 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
- 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, with tools like 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
- Familiarity with fire behavior or fuels modeling frameworks (e.g., Rothermel-based models, LANDFIRE fuel classifications)
- Experience integrating physics-based models with ML, or with active learning and uncertainty quantification
- Peer-reviewed publications in wildfire science, remote sensing, or environmental modeling
- Familiarity with GCP, Vertex AI, or similar cloud-based platforms
- Experience in remote-first or globally distributed team
What We Offer
- Competitive, location-specific compensation and benefits
- Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
- Home office stipend, co-working and ongoing education budgets
- A company culture that genuinely embodies each of our core values
- To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis
Journal
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