remote
Assistant Director, Data Science - Renters Portfolio - Liberty Mutual
Data Scientist
Lead a data science team to develop advanced pricing models for a national renters insurance portfolio, leveraging Python, machine learning, and cloud analytics to drive profitable growth and strategic decision‑making.
About the role
Key Responsibilities
- Design, develop, and deploy predictive pricing models for the renters insurance portfolio using machine learning and statistical techniques.
- Translate business strategy into data‑driven solutions, partnering with underwriting, product, and finance stakeholders.
- Lead a multidisciplinary team of data scientists and analysts, providing mentorship, technical guidance, and performance management.
- Own the end‑to‑end model lifecycle: data acquisition, feature engineering, validation, monitoring, and continuous improvement.
- Communicate model insights and recommendations to senior leadership through clear visualizations and storytelling.
Requirements
- Advanced degree (MS/PhD) in Data Science, Statistics, Computer Science, or related field with 7+ years of applied analytics experience.
- Proficiency in Python, SQL, and cloud platforms such as AWS for data processing and model deployment.
- Demonstrated expertise in machine learning, statistical modeling, and data visualization tools (e.g., Tableau, Power BI).
- Strong track record of leading technical teams and influencing cross‑functional business decisions.
- Excellent communication skills, with the ability to convey complex analytical concepts to non‑technical audiences.
Skills
pythonsqlmachine learningaws