- Explore data sources and develop new PropertyTech and InsurTech models using data science, including machine learning and deep learning.
- Research, design, and implement deep learning algorithms and architectures that extract insights from imagery sources such as aerial imagery and geospatial data.
- Lead the development of high-quality datasets for robust model training and evaluation.
- Collaborate closely with cross-functional teams to understand requirements and translate product, engineering, and business constraints and questions into actionable data science problems.
- Coach and provide feedback to members of the Data Science and Machine Learning team, fostering skill development and knowledge sharing.
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