Assistant Director, Data Science Renter s Portfolio - Liberty Mutual

Key Responsibilities

• Design, develop, and validate predictive models for renters pricing, leveraging machine learning techniques and statistical analysis.
• Collaborate with cross‑functional teams to define data requirements, build data pipelines, and ensure data quality across the portfolio.
• Deploy models to production on AWS, monitor performance, and iterate for continuous improvement.
• Communicate findings and model insights to stakeholders, translating complex analytics into clear business recommendations.
• Mentor junior data scientists and foster a culture of data‑driven decision making.

Requirements

• 5+ years of experience in data science or quantitative modeling, preferably in insurance or financial services.
• Proficiency in Python, R, and SQL for data manipulation, modeling, and automation.
• Hands‑on experience with AWS services (SageMaker, Lambda, S3) and model deployment pipelines.
• Strong statistical background and expertise in machine learning algorithms such as gradient boosting, random forests, and neural networks.
• Excellent communication skills and ability to translate technical results into business impact.