资深数据科学家 - 野火
Staff Data Scientist - Wildfire
气候危机是我们这个时代的首要挑战——但它也是创新的最大机遇，我们很自豪能承担这一挑战。在Overstory，我们利用尖端技术，打造一个能够支撑社区在世界变化中持续繁荣的弹性电网。
电网是我们在生活中依赖的基础设施支柱。它为医院供电，保持食物新鲜，并确保社区保持联系。但极端天气、老化的基础设施以及日益增长的山火风险正在给这个关键系统带来压力。所有这些因素使电力公用事业行业成为应对气候变化的最大机遇。
导致灾难性山火和停电的主要原因之一？树木和灌木与电线接触。
这就是我们介入的地方。在Overstory，我们使用人工智能和先进的卫星图像，提前定位并优先处理植被风险。通过为公用事业公司提供这些风险的关键分析，我们帮助防止停电，降低山火风险，并加速向更安全、更具弹性的电网过渡。
我们的团队遍布美洲和欧洲，我们与美洲及更广泛的公用事业合作伙伴合作。我们是户外爱好者、音乐家、艺术家、运动员、父母和探险者。让我们团结在一起的是对解决复杂问题的热情、对气候行动的承诺，以及相信技术应成为善的力量。
加入我们，一起建设更坚韧的世界。
职位与团队
我们很高兴将一位资深数据科学家（山火方向）加入我们的团队。该职位将负责我们燃料检测模型的科学基础，这是将卫星和环境数据转化为对植被结构、燃料量和山火风险理解的核心引擎。
与机器学习工程师和产品团队合作，您将定义模型的准确性，设计验证方法来证明这一点，并确保我们的建模选择建立在火灾科学和遥感基础之上。这是一个绝佳的机会，适合那些被具有直接现实意义的开放科学问题所激励的人，他们希望自己的研究影响公用事业公司如何预防灾难性山火。
时区要求：北美（NST、AST、EST、CST、MST、PST）
您将负责
- 领导研究如何从卫星、LiDAR和环境数据中估算植被结构、燃料状况和山火风险，在多样化的场景中
查看英文原文
The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.
The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change.
One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines.
That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.
Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.
Join us to help us build a more resilient world together.
Role & Team
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
Skills & Experience
- 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
Nice To Have
- 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
Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.
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
About Our Team
We are a fast-growing team of about 100 people from all over the world. Fifteen nationalities are represented and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Finnish, Estonian, and Afrikaans.
We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.
Diversity & Inclusion
The climate crisis is a human crisis that requires diverse perspectives to solve.
We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.
Our Values
Tackling the climate crisis is our greatest mission.
We act with urgency.
Our curiosity fuels our growth.
We recognize that change is constant, and we find joy and power in exploration.
We’re rooted in diversity.
Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.
We care for each other.
We love the power of machines but we nurture each other as humans.
Trust is fundamental.
We assume the best in everyone, and we share ideas openly so that we have a positive impact.
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Use of AI in Our Hiring Process
We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.