Lead Data Scientist - GM Protection

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. GM Financial is the wholly owned captive finance subsidiary of General Motors, headquartered in Fort Worth, Texas. We are a global provider of auto finance solutions with operations across North America, South America and the Asia Pacific region.

Our purpose is to pioneer innovations that move and connect people to what matters. At GM Financial we build a culture that welcomes new ideas, fosters integrity, and creates a sense of community and belonging.

The Lead Data Scientist will play a critical role in advancing data science solutions that drive marketing effectiveness and optimize claims management for GM Protection. This senior technical position will lead the end‑to‑end design, development, deployment, and maintenance of advanced analytical and AI‑driven systems, ensuring robust, scalable, and production‑ready solutions. Responsibilities include guiding projects from concept to production, embedding automation and engineering rigor into workflows, and mentoring other data scientists.

• Provide leadership, coaching, and/or mentoring to the data science team.
• Lead the design, development, and deployment of advanced mathematical and AI/ML solutions, including NLP and large‑language‑model‑based systems.
• Apply advanced analytics to uncover patterns, detect anomalies, and model sequential behaviors in complex datasets.
• Drive engineering excellence through code reviews, quality standards, and mentoring across the data science team.
• Establish monitoring frameworks for model performance, drift detection, and continuous improvement.
• Ensure delivered products meet key business metrics, collaborate with partners to translate objectives into actionable solutions, and advise leadership on strategic use of analytics.
• Seek needed information and conduct research projects from design through analysis, summarizing findings and communicating insights, recommendations, and implications to senior leadership.
• Prioritize effectively and deliver results within deadlines in a fast‑paced environment.

• Strong quantitative, analytical, and data interpretation skills with a solid foundation in mathematics, probability, and statistics.
• Advanced knowledge of applied methodologies including regression, sampling, time series, survival analysis, cluster analysis, decision trees, multivariate methods, non‑parametric techniques, principal components, linear programming, and 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 deployment, documentation, and monitoring protocols.
• Comprehensive knowledge of data engineering, data analysis techniques in cloud environments (Azure/Databricks/AWS/GCP).
• Strong written and verbal presentation skills with the ability to communicate complex concepts to senior management.
• Curiosity, creative thinking, and a collaborative approach to customer engagement.
• Ability to manage multiple projects and coordinate tasks in a time‑sensitive, pressured environment.
• Domain experience in automotive, telematics, warranty, and claim operations.

• 5–7 years in a related field or function, with experience leading through mentorship preferred.
• 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 a similar quantitative field required (advanced degree may be considered in lieu of an advanced degree).

Generous benefits package available on day one, including 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.

We cannot provide any visa sponsorship for this role now or in the future.