Advance your career at Liberty Mutual - A Fortune 100 Company!

Responsibilities:

• Research and develop predictive analytic solutions, and leverage knowledge to create and design solutions for business needs.
• Collaborate with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making.
• Utilize 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 to optimize business solutions.
• Identify and test hypotheses, ensure statistical significance, and build predictive models for business application.
• Translate quantitative analyses and findings into accessible visuals for non-technical audiences, and provide a clear view into interpreting the data.
• Enable the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
• Customize analytic solutions to specific stakeholder needs.

Qualifications:

The position requires a Master's degree or foreign equivalent in Statistics, Mathematics, Economics, or a related field, PLUS one (1) year of experience in the job offered or a related occupation. The position requires one (1) year of experience with each of the following: predictive analytic techniques and statistical diagnoses of models including multicolinearity detection, outlier detection, overfitting assessment, ANOVA, and residual analysis; model validation technique including cross validation, bootstrapping, sensitivity analysis, stability analysis, and out of sample/time validation; processing, manipulating, and modeling data including building SQL programs in SAS or Teradata to extract large amounts of data in a production environment and merging and filtering the data pulled through multiple data sources; developing linear regression, logistic regression, generalized linear models, quantile regression and linear mixed effects model through SAS and R; modeling package development through SAS, R, and Python, including macros, SQL and automation jobs; and working for the entire modeling lifecycle including data collection, model design, model development, model validation, model implementation, and model performance tracking after the implementation. The position requires demonstrable experience with stochastic process, time series forecast modeling, survival analysis, and machine learning.

To apply, please visit www.libertymutualgroup.com/careers, select Search Jobs, then select Experienced Hires, enter job requisition #103055 in the Job Number field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.

Benefits:

We value your hard work, integrity and commitment to positive change. In return for your service, its our privilege to offer you benefits and rewards that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits

Overview:

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.

Job: Analytics
Primary Location: United States-Massachusetts-Boston
Schedule: Full-time
Salary: $88,000-$146,000
Education Level: Master's Degree (18 years)