Data Scientist, Machine Learning (Resilience)

Menlo Park

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Posted 1 month ago

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 Data Scientist, Machine Learning to join our Resilience team. In your role, you will build a global-scale resilience model to predict the societal and economic impact and recovery of the built environment against disasters.

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
  • Build and improve existing machine learning models
  • Work with and support domain experts and data scientists in different hazard products
  • Demonstrate up-to-date machine learning skills 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

Must haves

  • Ph.D. (preferred) or Master’s degree in Machine Learning or Artificial Intelligence, Computer Science, Statistics, Mathematics, Science, Electrical Engineering or related field 
  • Strong background of machine learning, deep learning, statistics, and quantitative analytics
  • 2+ years of related experience in hands-on model development
  • Advanced experience with Python (preferred), or R, C/C++, Java
  • Deep understanding of MySQL, Postgres, Redshift, relational databases, etc.

Good to have

  • Experience working on social issues and/or government projects
  • Domain knowledge of natural disasters such as earthquakes, floods, tropical cyclones, etc.
  • Experience in supply-chain modeling, casualty modeling, or a large-scale stochastic simulation
  • Worked on geospatial datasets
  • Strong publication record

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
Job tags: AI Deep Learning Engineering Finance Java Machine Learning MySQL Postgres Python R Redshift