Senior Data Scientist

The Allstate Corporation is the largest publicly held personal lines property and casualty insurer in America. Allstate was founded in 1931 and became a publicly traded company in 1993. Allstate offers car insurance, home, property, condo and renters insurance, plus insurance for recreational vehicles like motorcycles, boats and more.

This role is responsible for leading the use of data to make decisions. This includes the development and management of new machine learning predictive modeling algorithms; the coding\development of tools that use machine learning/predictive modeling to make business decisions; searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions); and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also begin to manage projects of medium complexity.

* Uses best practices to develop statistical, machine learning techniques to build models that address business needs * Manages data and data requests to improve the accuracy of our data and decisions made from data analysis * Uses and learns a wide variety of tools and languages to achieve results (e.g., R, SAS, Python, Hadoop) * Identifies languages and tools that can bring efficiencies or needed techniques to the team * Works on data and business problems to drive improved business results through designing, building, and partnering to implement models * Collaborates the with team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling * Understands the business’ problems to identify the optimal modeling approach * Communicates to team members, leadership and stakeholders on findings to ensure models are well understood and incorporated into business processes * Utilizes effective project planning techniques to break down moderately complex projects into tasks and ensure deadlines are kept * Works with leaders to ensure the project will meet their needs * The development and execution of a communication strategy, with appropriate coaching, that keeps all relevant stakeholders informed and provides an opportunity to influence the direction of the work * Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership

* Degree in a quantitative field such as statistics, mathematics, computer science, finance. * Master’s or PhD preferred in a quantitative field such as statistics, mathematics, computer science, finance, or economics * Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making * Experience in managing and manipulating large, complex datasets * Experience in working with statistical software such as SAS, SPSS, MatLab, R, CART, etc. * Understanding of the Insurance market place; economics and regulation preferred * Ability to code and develop prototypes in languages such as Python, Perl, Java, C * Knowledge of advanced modeling technique * Ability to analyze and interpret moderate to complex concepts * Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise * Demonstrated analytic agility