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.
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MorrJobs editorial notes
Our reading of this this opportunity Director I, Data Science, Enterprise Data & Data Science opening: it is a responsibility-led role with a detailed skills profile role for candidates who can show evidence that matches the responsibilities and requirements published by Liberty Mutual. The notes below are MorrJobs guidance based on this listing, not claims made by the employer.
What to demonstrate
Connect your CV or portfolio to 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.. Use one concrete example that shows you can Lead the development and implementation of advanced data science models and GenAI solutions..
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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.
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