Job Url: https://www.remoterocketship.com/company/libertymutual-2/jobs/senior-data-scientist-global-products-united-states-remote

Job Description: 
Liberty Mutual Insurance
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Liberty Mutual Insurance is a leading provider of insurance products, offering a wide range of coverage options including auto, home, renters, life, and small business insurance. The company is dedicated to helping individuals and businesses protect their assets and manage risks with tailored policies and customer support services. 

Through various purchasing channels such as online, by phone, and via agents, Liberty Mutual aims to provide convenient and accessible insurance solutions for a diverse clientele. 

Insurance


10,000+ employees

👥 B2C

💸 Finance

Senior Data Scientist - Global Products
4 hours ago

🍂 Massachusetts – Remote


💵 $104k - $197k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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📋 Description
• The Liberty Mutual, Global Risk Solutions, DSS is seeking a Senior Data Scientist within the Global Products and Surety team.
• The Global Products and Surety team is responsible for expanding the boundaries of Data Science applications globally, helping incubate new ideas and encouraging innovation across Global Risk Solutions markets, with a strong focus on leveraging the latest Artificial Intelligence (AI) and Machine Learning (ML) methods to drive business value.
• The team is looking for a passionate individual who is full of curiosity, open to new ideas, and willing to fail fast and embrace a culture of experimentation.
• This individual will join our Agile team and play an essential role in building out in-house AI/ML capabilities and be involved in the end-to-end product cycle, from ideation to model development/deployment to field implementation.
• Typical projects would involve the following: Design and develop advanced deep learning models to aid pricing and risk selection for the fast growing cyber business.
• Design and fine-tune large language/vision models to glean valuable insights from different kinds of unstructured data.
• Develop and adopt the best-in-class MLOps best practices throughout the data science lifecycle.

🎯 Requirements
• Solid knowledge of predictive analytics techniques and statistical diagnostics of models.
• Advance knowledge of predictive toolset; expert resource for tool development.
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
• Has a value-driven perspective with regard to understanding of work context and impact.
• Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master’s degree, a minimum of 4+ yrs. of experience with a bachelor’s degree.

🏖️ Benefits
• Flexible Time Off • Annual Accrual - days 20