The Data Engineer will gather, curate, and preprocess large datasets, ensuring data quality and integrity, analyze datasets using statistical and machine learning techniques, and communicate findings through visualizations and reports, aiding the development of scientific models and pricing platforms.

The Reliability Engineer at Chelsea Avondale is responsible for ensuring the reliability and performance of systems. Key tasks include maintaining AWS cloud environments, implementing monitoring systems in Python, conducting incident analysis, and collaborating with teams to enhance system reliability.

As a Research Scientist, you will collaborate with a team of scientists and engineers to develop models for severe natural hazards, write efficient scientific code in Python, manage project timelines, and evaluate model outputs using GIS tools. You will also conduct literature reviews and work on data from various sources to improve statistical credibility.