Data Scientist - Resilience Modeling
Menlo Park /
Data Science /
One Concern is a Menlo Park-based benevolent artificial intelligence company with a mission to increase the global community's resilience to natural hazards. Founded at Stanford University, One Concern enables cities, corporations, and citizens to embrace a disaster-free future through AI-enabled technology, policy, and finance. By combining data science and natural phenomena science we are pursuing a vision for planetary-scale resilience, where everyone lives in a safe, equitable, and sustainable world.
One Concern is growing rapidly and we are looking for a passionate and motivated Data Scientist for Resilience Modeling to join our team.
What you will do
- Build a global-scale resilience model to predict the societal, economic impact and recovery of the built environment against disasters
- Build and improve existing impact and recovery models (e.g., infrastructure vulnerability models)
- Work with and support domain experts and data scientists in different hazard products
- Demonstrate up-to-date modeling techniques and apply this to the development, execution, and improvement of action plans
- Assess the potential usefulness and validity of new approaches and data sources.
- Identify key problems in prediction models and propose innovative solutions
- Formulate your own problems as the problem might not always be defined for you
- Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights
- Ph.D. (preferred) or Master’s degree in operation research, structural engineering, statistics or related field
- Strong background in statistics, machine learning, and quantitative analytics
- Advanced programming skills in python (preferred) or R to develop models and support model updates
- Strong desire to learn new topics and skills and to develop innovative products
Good to have
- Experience in developing fragility, vulnerability or recovery models of infrastructure systems or buildings
- Domain knowledge of natural disasters or risk modeling.
- Experience in developing machine-learning models and/or statistical/probabilistic models
- Strong publication record
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.