Wildfire Data Scientist: Mitigation

Palo Alto, California
Data Science – Data Science /
Full Time /
One Concern is a startup which specializes in Artificial Intelligence for Natural Disasters. With our team of global disaster scientists and engineers, we have developed a platform that helps emergency responders prepare for and make the most critical decisions during the first moments of a crisis, with the main goal of saving lives.

We are looking for a Wildfire expert who is experienced in fuel management or forestry to join our team at One Concern. This role will work on development and improvement of machine learning models in data-driven wildfire spread modeling, monitoring and forecasting.

We work in a highly collaborative, challenging and exciting environment. Our engineering challenges are unique, so you should be comfortable stepping in uncharted territory and excited to create systems that can scale to all disasters and geographies. If you are problem solver, think out-of-the-box, love challenging yourself, and want to work for a cause, we would love to have you at One Concern.

We are committed to a workplace that reflects the community we serve. We especially encourage women, people of color, and others who are underrepresented in the tech industry to apply.

What you will do

    • Develop and improve models in wildfire mitigation
    • Evaluate model predictions and quantify uncertainties between observed and predicted outcomes using statistical and GIS tools
    • Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights
    • Provide support on ad-hoc analysis and reports

Must-haves:

    • PhD (preferred) or Master’s degree in Atmospheric Science, Forestry Sciences, Wildfire modeling, or related field ;
    • Solid background with 2+ years of modeling fire behavior, impact and fuels through model/code development, or remote sensing
    • 1+ year experience in machine learning, statistics and quantitative analytics;
    • Proficiency in programming languages (Python, C/C++, Fortran and/or others) and visualization tools;
    • Strong drive to learn new topics and skills and to develop innovative products for our customers.

Good to have:

    • Experience linking measurement data with process-based models (e.g. via data assimilation, calibration, optimization and/or performance testing)
    • Strong publication record is a big plus
    • Understanding of MySQL, Postgres, Redshift, relational databases etc
    • Experience with end-to-end product pipelines

Perks and Benefits

    • Market-competitive salary plus equity
    • Comprehensive medical, dental, and vision insurance
    • Daily catered lunches, and a fully-stocked kitchen
    • Generous PTO policy
    • Team off-sites
    • Flexible working hours