Machine Learning Engineer - Connected Car

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.

As a talented and bold engineer, you love to code, get your hands dirty with raw data, and derive meaningful and actionable insights. You’re an innovative thinker, an expert communicator, and an agile problem solver looking to join an exciting team. As an ideal candidate, you can learn and adapt quickly and are able to use every tool at your disposal—software, algorithms, statistical models, and beyond—to understand and effectively tackle hard problems. You appreciate the difference between explaining and fitting statistical models, the importance of good metrics, and the tradeoff between exploration and exploitation. You can perceive common structure between superficially unrelated problems, and can use this to build tools, algorithms, and products with superlinear value.

* Embraces a continuously evolving breadth of projects and goals. * Dedicates time and interest to learning, teaching, and continuously improving. * Desires to contribute concretely to design sessions, analytical discussions, and retrospectives. * Innovates and problem-solves by using new modeling techniques or tools. * Takes initiative and works efficiently while maintaining a focus on the bigger picture. * Effectively communicates learnings and findings with others in the team, leadership and department. * Partners closely with technical and non-technical staff to define user and project requirements. * Works collaboratively with other team members in pursuit of a common goal. * Helps define best practices.

This is an opportunity to exercise creativity in an analytical role; our projects take many forms and require a diverse, flexible set of technical skills: * Machine Learning, statistical learning, mathematics or related quantitative skills * Proficiency in at least one programming language (Java, C, C++) * Proficiency in with at least one of the following relevant packages (R, MATLAB, Python, Hadoop etc.). * Solid knowledge of linear algebra and convex optimization technique. **Education and Experience** * A BSc or MSc in either Computer Science, Mathematics, Statistics or Physics. * At least 2 years of relevant experience in a related field.