Lead Data Scientist - General Motors Insurance

JOB DESCRIPTION

Why General Motors Insurance?

At General Motors Insurance, we are building an Insurtech business that will reinvent auto insurance. We are fully owned and backed by auto industry leaders General Motors and GM Financial. This is a truly unique opportunity to join at the foundational stage of a start-up leading the transformation of the auto insurance experience.

GM has the largest connected vehicle fleet worldwide. In the US alone, there are currently 9M+ connected GM vehicles on the road and that number is projected to triple in the next 10 years. More than that, the OnStar system currently has access to over 900 data points from the vehicle. This surge in information about vehicles and how they are driven will revolutionize auto insurance. This disruption is backed by the bold GM vision of zero crashes, zero emissions and zero congestion. We are serious about the safety and financial security of our customers. If you are passionate about driving innovation and delivering results in a fast-paced, value-focused environment, General Motors Insurance is looking for you.

• Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics
• Ability to identify and understand business issues and map these issues into quantitative questions
• Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques.
• Maintained advanced skills in some combination of SQL, Python, R, Spark, and other common data science software languages
• Strong knowledge of engineering practices that pertain to data science, such as version control, CI/CD, model deployment, and model monitoring
• Ability to design and implement model documentation and monitoring protocols
• Comprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques
• Efficiently work with large datasets
• Deep understanding of the various aspects of insurance marketing operations, with preferred experience building models such as for bind, retention, and life-time value.
• Takes an ownership mentality to the business and always pushes for continuous improvement with a relentless commitment to our customers.
• Provides leadership, coaching, and/or mentoring to Data Scientists I and II
• Ability to be curious in all aspects of the business and your role and continuously learn.
• Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand
• Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems
• Ability to identify and seek needed information/research skills
• Analytical thinking and strong problem solving skills
• Ability to interact collaboratively with internal and external customers
• Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment

• 5-7 years of experience in related field or function required
• Experience leading through mentorship in related field preferred
• Experience leading projects and initiatives through influence preferred
• Auto insurance pricing and underwriting preferred
• Master's Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field required