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GM Financial · 6 days ago

Sr Data Scientist - GM Protection

Detroit, MI

Full-time

Hybrid

Mid, Senior Level

4+ years exp

GM Financial is a global provider of auto finance solutions and is headquartered in Fort Worth, U.S. The Senior Data Scientist will implement predictive and statistical models to support marketing effectiveness and claims optimization, leveraging advanced analytics and AI/ML techniques to deliver actionable insights and improve business performance.

Finance

Comp. & Benefits

No H1B

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

Qualification

Predictive modelingNatural Language ProcessingPythonData engineeringStatistical analysisSQLSASCuriosityDomain experienceCommunication skillsCollaborationProject management

Required

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

Domain experience in automotive, telematics, warranty and claim operations

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)