Data Scientist Applied Meteorology

Job Summary

A company is looking for a Data Scientist, Applied Meteorology (Level II-IV) for a fully remote position.

Key Responsibilities:

• Fit and assess predictive models leveraging numerical weather forecasts and other data sources in Python
• Analyze retrospective and forward-looking impact of weather on the utility grid
• Collaborate with a broader data science and engineering team to take projects and products from inception to client delivery

Required Qualifications:

• MS in atmospheric science, meteorology, or similar field of study, plus one year of applied experience or PhD with applied analysis in aforementioned field of study
• Minimum three years of experience conducting data science projects using spatial-temporal weather datasets in industry or applied research
• Extensive experience fitting and assessing predictive models leveraging numerical weather forecasts in Python
• Experience conducting all phases of analysis, including data compilation, EDA, feature engineering, and generating deliverables
• Experience working as part of a larger data science team, collaborating with technical and nontechnical peers and stakeholders