Senior Data Scientist, Climate & Geospatial Modeling ESOP
Seeds Renewables
14 days+
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Benefits offered by this job
Job summary
An innovative climate-focused company in Connecticut is seeking a Senior Data Scientist to enhance climate model accuracy and lead data operations. The candidate will need a Master's degree with 4 years of experience or a Ph.D. with 2 years in Data Science or Earth Science. Responsibilities include leading data acquisition and statistical analysis to support climate-related modeling. The role offers a hybrid work schedule, competitive salary, and various employee benefits, including healthcare and parental leave.
Qualifications
- Master's Degree with 4 years of experience or Ph.D. with 2 years of experience.
- Strong experience in Python and cloud computing, preferably AWS.
- Capability in geospatial data formats like GeoTIFF, NetCDF, and GRIB.
Responsibilities
- Lead acquisition and analysis of climate-related and geospatial data.
- Develop and maintain data pipelines on local and cloud systems.
- Perform statistical analysis to validate hazard model predictions.
Skills
Python
Cloud computing (AWS)
Geospatial data analysis
Statistical analysis
Machine learning model development
Education
Master’s Degree in Data Science, Earth Science, or related
Ph.D. in related field
Tools
Unix
Python
Bash
GDAL
Job description
An innovative climate-focused company in Connecticut is seeking a Senior Data Scientist to enhance climate model accuracy and lead data operations. The candidate will need a Master's degree with 4 years of experience or a Ph.D. with 2 years in Data Science or Earth Science. Responsibilities include leading data acquisition and statistical analysis to support climate-related modeling. The role offers a hybrid work schedule, competitive salary, and various employee benefits, including healthcare and parental leave.
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