Part-time contract position, located in San Francisco Bay Area (can be remote).
Delos is looking for an experienced data analyst to wrangle and interpret data from scientific wildfire models and other various databases, in order to develop more accurate and timely wildfire models for insurance.
This person will:
- Work with the Delos team and with leading wildfire science professors that create disaster risk maps.
- Determine key risk indicators from wildfire catastrophe maps. Develop new interpretations and insights from wildfire science research and historical data.
- Primarily do analytical work using R and/or Python.
Ideal candidates will possess experience with some or all of the following:
- Performing data transformations, wrangling, and analyses in R and/or Python.
- Drawing from disparate data sources that require statistically rigorous consideration when combining into a single model.
- Geospatial tools such as ArcGIS.
- Creating multivariate predictive models and discovering insights from heterogeneous sets of data.
- Leading technology development efforts in startups and/or high dynamic environments.
Above all, Delos is looking for people who are:
- Driven, technically skilled, and passionate about using data analysis techniques to discover new insights.
- Enjoys the challenge of experimenting and innovating; willing to try new things knowing they may not work the first time.
- Excited to impact real people’s lives– through better disaster predictions, disaster preparedness, and improved financial stability.
If this sounds like you, please get in touch with our team! firstname.lastname@example.org
Delos is building higher-resolution catastrophe models for better community disaster resilience and dramatically improved insurance underwriting. Our team of aerospace engineers, weather science research professors, and analysts are on the cutting edge of risk modeling in high risk regions.