Sr. Data Scientist

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