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

• Conduct high complexity analysis for business units and functions, and participate in the management of complex projects while providing technical and analytical assessments of issues facing the business. 
• Utilize advanced statistical techniques to solve business problems. 
• Utilize, update and adapt predictive modeling tools and focus on the application of the tools. 
• Develop analytic tools that will increase effectiveness and efficiency and guide decision-making. 
• Synthesize data from diverse sources to better answer complex questions. 
• Present findings and recommendations which impact profitability, growth, and customer satisfaction. 
• Participate and facilitate discussions with senior leadership regarding innovations in advanced analytical tools.

Qualifications: The position requires a Ph.D. Degree or foreign equivalent in Mathematics, Statistics, Economics, or a related field, PLUS one (1) year of experience in the job offered or a related occupation OR a bachelor's degree or foreign equivalent in Mathematics, Statistics, Economics, or a related field, PLUS five (5) years of experience in the job offered or a related occupation. The position requires one (1) year of experience with each of the following: programming in R, Emblem, SAS, and Python; development of machine learning models including GLM, Regularized Regression, Decision Trees, Random Forest, Gradient Boosted Trees, Neutral Networks, Clustering, PCA, and Support Vector Machines; predictive analytic techniques and statistical diagnoses of models including Bayesian inference, detection of multicollinearity, outliers, assessment of overfitting, ANOVA, and residual analysis; model validation techniques including cross-validation, bootstrapping, and out-of-time/out-of-sample validation; building insurance pricing and underwriting models including pulling and preparing relevant datasets, building the models, validating the models, and estimating economic benefit; development of generalized linear models, mixed effect models, and Bayesian hierarchal models; Hadoop, Spark, EC2, S3 and other big data/cloud offerings; optimization of machine learning algorithms through distributed computing and GPU acceleration; and working knowledge of the contract and pricing regulation of the U.S. personal insurance Auto and Homeowners products. Any suitable combination of education, training, or experience is acceptable.
To apply, please visit https://jobs.libertymutualgroup.com/, select 'Search Jobs,' enter job requisition #104752 in the 'Job ID or Keywords' 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, it's 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 Company 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.
 
We're 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.