The Technology Data Science & Data Governance team is looking for a highly motivated Principal Data Scientist to join us at an exciting time as we embark on developing AI/ Machine Learning tools to support Technology Enablement portfolios, employee digital experience and productivity across all Lines of Business. This person will collaborate closely with Technology teams, LOB Operations, other Data Scientists, and IT Product owners. They will leverage data and advanced techniques to develop, implement and analyze predictive models that enable data-driven, strategic decision-making. This role requires expertise in a broad range of predictive analytics techniques and their application to business opportunities – both, large impact and smaller ”quick hits” complex engagements. A successful candidate will be confident, organized, creative, and interested in identifying and solving business problems using data and analytics. They will have the right mix of experience, analytical, technical, and communication skills to thrive in a fast-paced environment. In addition, they will take active roles representing the Data Science community in the Liberty Mutual wide Data Science Professional Resource Group (DSPRG) and serve as a mentor to other data scientists, data analysts and contribute to Technology Data Governance efforts.

The Analyst II, Data Science collaborates with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.

This level reflects solid knowledge of predictive analytics techniques, while continuing to learn how to apply techniques to business issues.

Responsibilities:

• Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
• Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application.
• 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.

Job Specifications:

Reference: 2022-53024
Category: Analytics
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time

Salary: USD-$114,200.00-–-$161,600.00-/-Year
Education Level:
Travel: As Needed