Data Scientist II - Remote

Overview

We are seeking a Data Scientist II to join our dynamic Data Science team. This role combines atmospheric science, meteorology, and advanced analytics to power life-saving weather intelligence.

In Short

• 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.

Requirements

• 2–5 years of experience applying meteorological algorithms, models, or similar technologies (or equivalent academic/research experience).
• Familiarity with meteorological datasets, data transformation, and quality control methods.
• Exposure to remote sensing data (satellite, radar) and interest in expanding lightning detection expertise.
• Proficiency in programming languages such as Python, SQL, or C++ for analysis, modeling, and automation.
• Familiarity with big data technologies (Spark, Hadoop) to process large datasets.
• Strong understanding of data science fundamentals: statistical analysis, ML concepts, geospatial analytics.
• Ability to work collaboratively in multidisciplinary teams and contribute scientific/technical insights.
• Strong communication skills for presenting findings to diverse audiences.
• Demonstrated curiosity and initiative in exploring new scientific methods, technologies, or datasets.

Benefits

• Work with a leading company in weather intelligence.
• Opportunity to contribute to life-saving technologies.
• Collaborative and multidisciplinary team environment.
• Access to advanced data science tools and technologies.
• Flexible work arrangements in a remote setting.