The Principal Data Scientist role combines scientific leadership with hands‑on research, integrating programming, statistical modeling, data visualization, and ecological interpretation. He/she leads core data science initiatives, mentors and manages data analysts, oversees data sampling strategies, and ensures the highest scientific rigor in methodologies and reporting. His/her work lies at the intersection of ecology, statistics, and technology, with a strong focus on understanding bird and bat interactions with wind farms. He/she employs a broad suite of analytical techniques — including radar and camera monitoring, ESAS surveys, viewpoint observations, GIS-based movement analysis, post‑mortality surveys, citizen science data, and stochastic collision risk modeling — to assess and predict wildlife patterns across onshore and offshore projects. He/she also plays a central role in advancing bat research, developing models of bat activity and behavior to guide curtailment measure...