Assistant Director, Data Science (STP)
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Collaborates with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making. 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.
The Product Design and Modeling team has an opening for a Data Science IC position that will drive pricing and non-pricing sophistication in the US Design team and will act as a technical and subject matter expert for US modeling. The Individual Contributor role will report to a Property/Specialty Design Manager but also have opportunities to work on projects across personal and business lines as well as globally in partnership with the East & West Design team.
Build GLM loss cost models using Emblem across Auto or Property/Specialty products, as well as adjacent products (e.g. Business Lines, East/West products, New Product initiatives)
Build complex non-pricing models (e.g., models to identify customers for non-renewal)
Explore and utilize advanced modeling techniques (e.g., machine learning techniques and Elastic Nets)
Work with massive amounts of data to build sophisticated models
Collaborate with Delivery, State, and other teams to help implement new pricing programs, including supporting material and responding to DOI objections
Act as a mentor and help develop less experienced analysts on the team
Develop model-driven solutions to complex business problems
Bachelors w/ 5+ years, Masters w/ 4+ years, or Ph. D with 2+ years of relevant experience
Advanced degree in quantitative field or actuarial credentials preferred.
Experience with predictive modeling and statistical software packages (e.g., SAS, Emblem, Python/R) highly desired.
Sound knowledge of actuarial techniques and standards, as well as other business operations including Financial, Underwriting, Legal, Statistics, Claims, Sales departments.
High-level knowledge of data sources, tools, and the business (lines, systems, pricing plans)
Strong MS Office Excel and SAS skills preferred; Ability to build complex models. Expert skills in Excel, PowerPoint highly desired.
Ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing.
At Liberty Mutual, we give motivated, accomplished professionals the opportunity to help us redefine what insurance means; to work for a global leader with a deep sense of humanity and a focus on improving and protecting everyday lives. We create an inspired, collaborative environment, where people can take ownership of their work; push breakthrough ideas; and feel confident that their contributions will be valued and their growth championed.
Were dedicated to doing the right thing for our employees, because we know that their fulfillment and success leads us to great places. Life. Happiness. Innovation. Impact. Advancement. Whatever their pursuit, talented people find their path at Liberty Mutual.