Principal Predictive Modeler/Senior Data Scientist

Position Summary:
Allstate Insurance is looking for a creative Senior Data Scientist to use their machine learning, statistics, data mining, and analytic skills to influence the decision making of a Fortune 100 company. The Rating Plan Development team (RPD) is responsible for identifying and developing pricing opportunities that will enable Allstate to generate profitable market-share growth.

RPD currently has multiple openings, from entry-level to experienced predictive modelers. Key Responsibilities and Knowledge/Skills listed below span the entire predictive modeling career track, and candidates will be considered for the position that best matches their skills and experience.

Key Responsibilities:

The position will be responsible for:

• Creating and/or contributing to best-in-class predictive models taking into account business constraints.
• Helping to shape best practices around application of statistical modeling.
• Leading and/or implementing projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and loss experience

• Proven ability to build predictive models.
• Solid skills and training in machine learning, statistical modeling, data mining or related field.
• Excellent computer skills, including strong programming skills in any language.
• Experience using machine learning algorithms (for example: Generalized Linear Models, Boosting, Decision Trees, Neural Networks, SVM, Bayesian Methods, Ensemble techniques, etc.)
• Ability to concentrate on loosely defined problems which require application of creative approaches.
• Ability to transfer knowledge to a variety of audiences.
• Understanding of algorithmic complexity and scaling of run time and memory usage with larger datasets
• Solid knowledge of linear algebra and convex optimization techniques.
• Experience tackling large data sets or familiarity with tools such as Hadoop or MapReduce.
• Experience with SAS, SPSS, S, S-Plus, R, RATS, SysStat, or similar statistics package a plus

• 3 - 5 years of experience in a predictive modeling / data scientist role in the insurance industry;
• 4 - 7 years relevant experience outside.

Major preference: Machine Learning, Statistics/Applied Statistics, Computer Science, or related field.

_Contact_:

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