We are looking for a Senior Data Scientist with experience working in Earth Science to join our Data Science/Data Engineering team. The successful candidate will develop new peril models, lead data operations, and enable the broader team to succeed through technical leadership.
Requirements
- Master’s Degree + 4 years of experience, or Ph.D. + 2 years of experience (field: Data Science, Earth Science, or related)
- Python — required
- Linux & Bash — required
- Git & source control — required
- Cloud computing — required (AWS strongly preferred)
- Geospatial data and formats: GeoTIFF, NetCDF, GRIB, HDF5, Zarr
- Strong understanding of probability and statistics as applied to spatial data
- Experience with big data analysis, parallel processing, and batch/spot workflows
- Machine learning model development — ideally a model you built yourself, not just contributed to as part of a team
Benefits
- Competitive salary commensurate with experience
- Ownership interest in the company via Employee Stock Option Plan
- Hybrid Schedule with in-office work days on Monday, Wednesday and Thursday
- 15 vacation days along with 8 statutory company holidays, 5 days for winter break office closure, and 10 sick days
- Healthcare monthly premium covered at 100% for employee or a significant contribution for family plans
- Vision and dental benefits with partial employee contribution
- 12 weeks of paid parental leave
- Access to One Medical, Teledoc, HealthAdvocate, Kindbody, and Talkspace
- Company 401k program
- Commuter benefits
- Life Insurance
- Tech startup environment
- Weekly team meals and an office stocked with coffee and snacks
- Working on the world’s biggest issue with other passionate professionals
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