Senior Applied Scientist, Property Analytics

📋 Description

• Lead end-to-end design, architecture, development, deployment of state-of-the-art automated
• Architect and refine machine learning, deep learning, and statistical models for asset valuation
• Establish robust quantitative frameworks for continuous model performance assessment, monitoring
• Build analytical tools and frameworks to empower cross-functional teams across risk, underwriting
• Partner with data infrastructure and MLOps engineering teams to enhance data capabilities, build
• Design useful data attributes and feature representations, leveraging structured, unstructured, and

🎯 Requirements

• Ph.D. or Master's degree in a quantitative discipline (e.g., Computer Science, Data Science
• Proven track record of developing statistical and machine learning models at an account, customer
• Solid understanding and hands-on application of advanced machine learning techniques, deep
• Strong production-level programming skills in Python, SQL, and R.
• Demonstrated experience in technical leadership, cross-functional collaboration, and mentoring
• Excellent oral and written communication skills with ability to explain complex technical