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Data Scientist
Resilience Modeling
Posted on 8/25/2022
INACTIVE
Locations
Menlo Park, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Python
Requirements
  • Ph.D. (preferred) or Master's degree in Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Science or related field
  • Strong background in machine learning, statistics, and quantitative analytics
  • Experience in developing machine-learning models and/or statistical/probabilistic models
  • Proficient in Python
Responsibilities
  • 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
One Concern

51-200 employees

Planetary-scale resilience software
Company Overview
We advance science and technology to make disasters less disastrous