GM Financial is targeting significant growth as it transforms the GM Protection/Insurance Products into a full captive platform. Our team is responsible for bringing the branded General Motors F&I products to market and we work hands on with our dealer partners to improve performance in their F&I department. In order to provide the most competitive products and business insights, we are building advanced data and analytics capabilities.
The VP of Data Science- GM Protections will be responsible for the success of data science and machine learning solutions for marketing and claims management. You will use your excellent communication skills to share your vision for data science with senior leaders to shape the future of GM Protections. You will be the technical lead responsible for breaking down large initiatives into achievable challenges with quantitative success criteria; to design, develop and deploy machine learning models, algorithms, and other data processing techniques. Hybrid work environment ? up to three days in office.
Researches, develops, and implements traditional and innovative algorithms through application of actuarial, statistical, and machine learning methods
Employs advanced methods to query, calculate, transform, and manipulates data from databases using Databricks, SAS, SQL, Python, R, or similar.
Performs reasonable methods to validate data integrity - Pursues problem identification and impact across large data sets, leveraging data mining, machine learning, simulation and visualization techniques to further enhance insight and internal performance optimization
Develops and builds analytical solutions based on ambiguous business needs/wants, models and delivery methods
Design and develop modeling packages for marketing and claims management that can be deployed in a compliant and scalable manner
Advise business and technology teams on data science elements on business roadmap
Partner with vendor(s) and internal departments to ensure tasks are defined and documented with timely deliverables and within SLA
Experience with advanced statistical methods
Efficient modeling skills with very large datasets
Comprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis technique
Experience in automotive finance and/or auto F&I business preferred Skills
Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability and statistics.
Proficient in Databricks, 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. -
Proficiency in experimental design and using behavioral design in tandem with data science. -
Deep understanding of the various aspects of protection or warranty products and claims operations, along with experience building models
Ability to be curious in all aspects of the business and continuously learn.
Ability to identify and understand business issues and map these issues into quantitative questions.
Exceptional communication skills for both technical and non-technical audiences.
Education:
Master's Degree in Computer Science, Data Science, Applied Mathematics, Statistics or similar quantitative field required
Work Experience:
8 or 9+ years experience in modeling required
4+ years experience in management and/or leadership required
Working Conditions
Normal office environment
Flexible schedule with possibility of working long hours
Must be able to deal with stressful office conditions while troubleshooting problems
Hybrid: 3 days in the office
What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture. We have an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Compensation: Competitive salary and bonus eligibility; this role is eligible for company vehicle program
#LI-WB1
Read Full Description