Data Science Meteorologist
3 weeks ago
We are seeking a talented Data Science Meteorologist to join our team at Millennium Management, LLC. The ideal candidate will have a strong background in meteorology, statistics, and computer science, and experience working with large datasets.
The salary for this position is estimated to be around $140,000 - $190,000 per year, depending on location and experience.
Key Responsibilities- Analyze and manage vast amounts of meteorological data from market to alternative data vendors
- Develop high-resolution numerical weather prediction models for use across short-term power desks
- Interface with the broader quant team on weather-related projects such as demand and wind generation modeling
- Communicate and provide data insights to investment teams (portfolio managers and analysts)
- Write code to tag, clean, and normalize large unstructured and structured datasets
- Back test datasets to assess their correlation to company KPIs
- Work alongside the data sourcing team to identify new potential data products and vendors
- Construct visualization dashboards to present key insights
- MS or PhD degree in Meteorology, Statistics, Computer Science, Applied Mathematics, or related field
- At least 2+ years of working experience with meteorological variables, concepts, data providers, and industry standard practices
- At least 2+ years of programming experience in Python
- Experience with weather data types such as GRIB, NetCDF, and Zarr
- Proficient in writing SQL queries and hands-on experience with ETL processes
- Expertise in high-resolution numerical weather prediction modeling and data assimilation; experience with AI/ML techniques is a plus
- Excellent communicator
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