Director I, Data Science, Enterprise Data & Data Science at Liberty Mutual | USA (Remote)
Company/Recruiter: Liberty Mutual
✦ AI Summary
Liberty Mutual is seeking an exceptional, hands-on Director I, Data Science with deep expertise in data science, MLOps, and building GenAI solutions to join our Enterprise Data & Data Science team.
Job Overview
As a Director I, Data Science, you will be instrumental in advancing Liberty Mutual's data science maturity and leveraging cutting-edge technologies, including Generative AI, to solve complex business challenges. You will guide a team of talented data scientists and engineers, foster collaboration, and drive the adoption of best practices in model development, deployment, and monitoring.Key Responsibilities
- Lead the development and implementation of advanced data science models and GenAI solutions.
- Oversee MLOps practices to ensure efficient and reliable deployment and management of machine learning models.
- Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects.
- Mentor and develop a team of data scientists, promoting a culture of innovation and continuous learning.
- Stay abreast of the latest trends and technologies in data science, machine learning, and AI.
- Ensure the ethical and responsible use of data science and AI within the organization.
Requirements
- Proven experience in data science, with a strong emphasis on developing and deploying production-level models.
- Deep understanding and practical experience with MLOps principles and tools.
- Demonstrated expertise in building and implementing Generative AI solutions.
- Strong leadership and team management skills.
- Excellent communication and stakeholder management abilities.
- Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) or equivalent practical experience.
What We Offer
- Opportunity to lead impactful data science initiatives at a leading insurance company.
- A collaborative and innovative work environment.
- Support for professional development and continuous learning.
- The flexibility of a remote work arrangement.
- Competitive compensation and benefits package.