Analyst II, Data Science

02116, Boston
Nov 21, 2021
Jan 20, 2022
Actuary, IT
Job Type
Not Specified
Career Level
Not Specified

  • Collaborate with business partners to develop predictive analytic solutions that enable data-driven strategic decision making
  • Independently analyze business problems, utilize current and emerging 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
  • Reflect broad knowledge of predictive analytics techniques, while continuing to learn how to apply techniques to business issues
  • Research and develop predictive analytic tools
  • Leverage knowledge to create/design solutions for business needs
  • Independently mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions
  • Independently identify and test hypotheses, ensuring statistical significance, and builds predictive models for business application
  • Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data
  • Enable the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes
  • Independently customize analytic solutions to specific client needs
  • Responsible for larger components of projects of moderate to high complexity
  • Guide aspects of project design as a technical consultant for the team
  • Engage with the data science community and participate in cross functional working groups
  • Telecommuting permitted up to 40%

The position requires a Master's degree, or foreign equivalent, in Statistics, Mathematics, Economics, Actuarial Science, or a related quantitatively analytical field in the sciences, or equivalent field plus two (2) years of experience in the job offered or a related field. Position also requires demonstrable experience with each of the following:

  • Predictive analytic techniques and statistical diagnostics of models
  • Predictive tool development in R or Python
  • Collaborating effectively with cross-functional teams
  • Ability to establish and build relationships within the aligned functional area or SBU
  • Using results of analysis to persuade team or department management to a particular course of action
  • Value driven perspective with regard to understanding of work context and impact
  • Predictive modeling language & software and Data sources,tools & business drivers
  • Telecommuting permitted up to 40%

To apply, please visit, select Search Jobs, enter job requisition #2021-43058 in the Job ID or Keywords field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to Reference requisition number in subject of e-mail.

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.  


Liberty Mutual has proudly been recognized as a Great Place to Work by Great Place to Work® US for the past several years. We were also selected as one of the 100 Best Places to Work in IT onIDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduatesas well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: 


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:  


Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. 

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