Staff Data Scientist - Risk Simulation

  • One Concern
  • Menlo Park, CA, USA
  • Jun 03, 2021

Job Description

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 Staff Data Scientist for Risk Simulation to join our team.

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
  • Work with and support domain experts and data scientists in different hazard products
  • Work with a group of data scientists to develop a risk simulation platform
  • 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 statistical 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 or Masterโ€™s degree in engineering, mathematics, statistics or related fields
  • Minimum 5 yrs experience in developing large scale simulation models
  • Strong background in mathematics, statistics and/or ML
  • Excellent understanding of risk aggregation and efficient sampling techniques
  • Hands on experience in financial modeling (e.g., mortgage default, re/insurance risk metrics, ELT, YLT)
  • Domain knowledge of natural disasters or risk modeling
  • 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 catastrophe risk model development
  • 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.

Organization Type


Organization Size



Climate Risk, Supporting Catalysts

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