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GM Financial · 3 days ago

Lead Data Scientist - GM Protection

Detroit, MI

Full-time

Hybrid

Senior Level, Lead/Staff

5+ years exp

GM Financial is a global provider of auto finance solutions, headquartered in Fort Worth, U.S. The Lead Data Scientist will advance data science solutions to drive marketing effectiveness and optimize claims management for GM Protection, leading the design and deployment of AI-driven systems and mentoring other data scientists.

Finance

Comp. & Benefits

No H1B

Responsibilities

Provide leadership, coaching, and/or mentoring to data science team

Lead the design, development and deployment of advanced mathematical and AI/ML solutions, including NLP and LLM-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

Qualification

Data Science LeadershipAdvanced AnalyticsPythonNLPLLMsData EngineeringStatistical MethodsCloud EnvironmentsCuriosityDomain ExperienceCommunication SkillsCreativityProject Management

Required

Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics

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 deployment, 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

Domain experience in automotive, telematics, warranty and claim operations

5-7 years in related field or function 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)