Sr 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.

Position open until filled.

RESPONSIBILITIES

About the role:

The Senior Data Scientist is responsible for implementing the design, development, deployment, and maintenance of predictive/prescriptive/statistical models in originations, collections, risk, pricing, fraud, customer experience and marketing. Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets, and conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms. The Sr Data Scientist will also contribute to Summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives. Lead in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. The Senior Data Scientist is a subject matter expert with an in-depth knowledge of quantitative methods and diligent knowledge of data sources and tools.

• Provides leadership, coaching, and/or mentoring to Data Scientists I and II
• Performs research, analysis, and modeling on organizational data
• Assists in analyzing key metrics and performing data analysis
• Build technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
• Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business
• Develop and apply algorithms or models to key business metrics with the goal of improving operations or answering business questions
• Presents findings and analysis for use in decision making
• Ensure that the delivered products meet the business needs of the company
• Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership
• Prioritize tasks and meet project deadlines in a fast-paced work environment

• 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.
• Advanced skills in Python, SQL, R, Excel, Word, PowerPoint
• 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
• Provides leadership, coaching, and/or mentoring to Data Scientists I and II
• MS Office required
• Proficiency in Python required
• 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 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, under pressure
• Strong problem-solving skills

• 4+ years as a Data Scientist or similar quantitative field required
• Master's Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field required (a combination of education, certifications, and/or work experience may be considered in lieu of an advanced degree)