Senior Data Scientist

• Lead the development of advanced analytical models for the automobile books of business through appropriate pricing, underwriting, marketing and fraud mitigation efforts.

• Involved in the full cycle of research, development, implementation, and maintenance of analytical solutions.

• Conduct end to end formal modeling process including data gathering, data profiling, model construction, validation, and other related tasks.

• Build predictive models that improved profitability through the creation of new rating plans with improved estimation and segmentation of insurance risk.

• Collaborate with business unit leaders to deliver operational enhancements and cost efficiencies in the claims, underwriting, and customer service processes.

• Engage business leaders in evaluation of new models to drive growth and retention through customer acquisition and lifetime value modeling.

• Manage projects, review subordinates' work and provide guidance to junior team members.

• Seek out industry best practices in data sciences and advocate their adoptions in analytical and business processes.

Master's degree (or foreign equivalent) in Statistics, Economics, Mathematics or related quantitative fields, Employer will accept a Master's degree (or foreign equivalent) in Statistics, Economics, Mathematics or related quantitative fields and two (2) years of experience in the job offered or in Senior Data Scientist-related occupation.

Position requires demonstrable experience with the following:

• Demonstrable experience developing and deploying advanced data science solutions with concepts and sophisticated methodologies in the areas of Finance, IRM (Insurance and Risk Management), and Actuarial Science.

• Demonstrable experience modeling and understanding of both conventional quantitative analytics including GLM, GLMM, Bayesian statistics, Actuarial methods and tree-based machine learning techniques including GBM and Random Forest.

• Demonstrable expertise utilizing SQL, Snowflake and AWS for data mining and modeling.

• Demonstrable experience performing statistical programming and testing using statistical software and managing and manipulating data using SAS, Python and R.