Analyst II, Data Science

Liberty Mutual Insurance • Seattle, WA

7d • Hybrid

About The Position

Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform underwriting decisions.
Research and develop in-house AI/ML products with other team members, including data scientists, IT developers, and business stakeholders.
Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business applications.
Understand our underwriting process and principles, determine predictive modeling strategies to improve insurance risk selection and pricing.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
Customizes analytic solutions to specific client needs.
Responsible for smaller components of projects of moderate-to-high complexity.
Regularly engages with the data science community and participates in cross-functional working groups.
Domestic travel required up to 10%.
Telecommuting permitted up to 60%.

Requirements

• Employer will accept a PhD (or foreign equivalent) in Statistics, Data Science or related field and 1 year of experience in the job offered or in an Analyst II, Data Science-related occupation.
• Position requires demonstrable experience in the following, which can be gained in a professional or academic setting.
• Demonstrated proven, in-depth knowledge of deep learning, machine learning, predictive analytics, and statistical modeling, including model diagnostics and validation.
• Demonstrated comprehensive knowledge of data science toolkit, encompassing data warehousing, data mining, and advanced data analysis techniques.
• Extensive hands-on experience with statistical programming languages including Python, SQL and R.
• Deep understanding and practical application of MLOps best practices for efficient model development, deployment, and monitoring.
• Demonstrated hands-on experience of using MLFlow, Databricks, and Docker Containers.
• Demonstrated comprehensive knowledge of insurance operations and familiarity with procedures of finance, underwriting, insurance claims and information technology.
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing.
• Demonstrated a strong understanding of the work context and the impact of data science on insurance products.
• Domestic travel required up to 10%.

Responsibilities

• Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform underwriting decisions.
• Research and develop in-house AI/ML products with other team members, including data scientists, IT developers, and business stakeholders.
• Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business applications.
• Understand our underwriting process and principles, determine predictive modeling strategies to improve insurance risk selection and pricing.
• Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
• Customizes analytic solutions to specific client needs.
• Responsible for smaller components of projects of moderate-to-high complexity.
• Regularly engages with the data science community and participates in cross-functional working groups.

Benefits

• At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive.
• We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions.
• This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups.
• Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work.
• Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
• We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being.
• To learn more about our benefit offerings please visit: https://LMI.co/Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees