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Data Scientist @ One Concern

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 seeking  a Data Scientist specializing in GIS to join our team at One Concern. This role will work on acquiring, pre/post-processing, evaluating and improving new data sources to support and improve our product offerings at global scale. You should have a keen eye for data and have experience in collecting, cleaning, analyzing and adding critical data to our pipeline.

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.

Responsibilities

  • Analyze performance, accuracy, and utility of Earth Observation data, components, and approaches in both time and space.
  • Be on the constant lookout for relevant datasets and new methodologies that will improve our products
  • Streamline data acquisition and merging into our data and modeling pipelines
  • Work on data QA/QC, explainability of model results based on data, data accuracy evaluation
  • Investigate existing data exploitation methods and automation techniques (e.g., machine learning, spatiotemporal statistics)

Requirements

  • MS in Geographic Information Science, Computer Science or related engineering fields.
  • 3+ years of experience in Geographical Information Systems
  • 3+ years of experience in processing and analyzing geospatial data
  • Experience in writing Python codes for data processing/analysis
  • Knowledge of GDAL and open-source GIS tools including PostgreSQL and PostGIS databases

Nice to have

  • Experience in disaster management and/or hazard modeling
  • Knowledge and/or experience in Machine Learning, or Artificial Intelligence
  • Excellent presentation and communication skills, with the ability to explain the details of various data sets to people from other fields

 

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Last Modified: 2020-9-11 0:28:18
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