Staff Data Scientist - Resilience Modeling

Menlo Park /
Data Science /
Full Time
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 passionate, motivated, and high-reaching engineers to join our team. Our engineering challenges are unique, so you should be comfortable in uncharted territory and excited to create systems that can support cities of 100,000 and 10 million people alike.

What you will do

    • Build a global-scale resilience model to predict the societal and economic impact and recovery of the built environment against disasters
    • Research independently to provide innovative solutions for various challenging problems 
    • Mining data from structured, semi-structured, and unstructured datasets to develop and enhance the existing data models.
    • Formulate your own problems as the problem might not always be defined for you
    • Verification, validation, and calibration of the in-house models as well as external models.
    • Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights

Must-haves

    • 5+ years of experience building resilience models
    • Ph.D. or Master’s degree in engineering, statistics, machine learning or artificial intelligence, computer science, or related field
    • Strong knowledge of probability theory and statistics, and quantitative risk assessment
    • Domain knowledge of natural disasters such as earthquakes, floods, tropical cyclones, etc.
    • Hands-on experience in performing data analytics for a large set of data
    • Experience in developing machine-learning models or probabilistic models
    • Advanced programming skills to develop and support model updates, e.g., Python, R
    • Ability to work independently as well as in a team environment
    • Strong desire to learn new topics and skills and to develop innovative products 

Good to have

    • Experience in catastrophe risk modeling
    • Experience working on social issues and/or government projects a big plus
    • Experience in supply-chain modeling, casualty modeling, or a large-scale stochastic simulation
    • Strong publication record