Data Scientist

• Enhance the AccuWeather Lightning Network™ by developing workflows that improve detection rates, location accuracy, and false alarm reduction.
• Integrate meteorological expertise into modeling frameworks, data pipelines, and scalable operational weather systems.
• Design and implement verification methods to assess performance of lightning detection systems using observational, satellite, and reanalysis datasets.
• Collaborate with Data Scientists, ML Engineers, and Applied Meteorologists to improve predictive models and decision-support tools.
• Communicate findings to both technical and non-technical stakeholders, translating complex science into actionable insights.
• Analyze and validate lightning and weather-related datasets, identifying areas for improvement and model enhancements.
• Support ETL processes with data engineering teams, ensuring data quality, meteorological consistency, and standardization.
• Participate in cross-functional projects applying lightning and weather insights to business use cases.
• Explore new AI/ML and geospatial approaches through research and prototyping to improve detection and forecasting.
• Maintain clear documentation, reproducible workflows, and contribute to team research reviews.

Data Scientist II

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