Sr Data Scientist - GM Protection

GM Financial • Fort Worth, TX

2d • Hybrid

About The Position

GM Financial is targeting significant growth as it transforms the 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. To provide the most competitive products and business insights, we are building advanced data and analytics capabilities. The Senior Data Scientist is responsible for implementing the design, development, deployment, and maintenance of predictive, prescriptive, and statistical models to support marketing effectiveness and claims optimization for GM Protection. This includes modeling with expertise in forecasting, optimization, and advanced analytics, as well as applying modern AI/ML techniques such as natural language processing (NLP) and large language models (LLMs). The role involves analyzing complex datasets, conducting studies using descriptive and supervised learning methods, and leveraging innovative algorithms to deliver actionable insights. You will summarize and present findings to internal stakeholders, collaborate with cross-functional teams to achieve business objectives, and lead research and analysis to quantify the impact of internal and external factors on portfolio performance. The Senior Data Scientist serves as a subject matter expert with deep knowledge of quantitative methods, data ecosystems, and modern tools.

Requirements

• 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 as well as hands-on experience with NLP, LLMs, and Agentic RAG-based solutions
• Advanced skills and proficiency in Python, SAS, SQL
• Ability to design and implement model documentation and monitoring protocols
• Comprehensive knowledge and experience with data engineering, and data analysis techniques in cloud environments (Azure/Databricks/AWS/GCP)
• 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 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
• 4+ yrs as a Data Scientist or similar quantitative field required
• High School Diploma or equivalent 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)

Nice To Haves

• Domain experience in automotive, telematics, warranty and claim operations

Responsibilities

• Provide leadership, coaching, and/or mentoring to Data Scientists I and II
• Assist in analyzing key metrics and performing data analysis
• Build technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
• Conduct 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
• Ensure that the delivered products meet the business needs of the company
• Partner 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

Benefits

• Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
• Competitive pay and bonus eligibility
• Flexible hybrid work environment, minimum of 2-days a week in Fort Worth, TX

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees