
Senior Data Scientist - GM Protection
GM Financial
full-time
Posted on:
Location Type: Hybrid
Location: Fort Worth • Texas • United States
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Job Level
About the role
- Develop and deploy predictive, prescriptive, and statistical models that support marketing effectiveness and claims optimization for GM Protection.
- Analyze complex datasets and apply advanced AI/ML methods—including forecasting, optimization, NLP, and LLMs—to deliver actionable insights and improve portfolio performance.
- Collaborate with cross‑functional teams to translate analytical findings into business strategies.
- Serve as a subject matter expert in quantitative methods and modern data tools.
- Mentor junior data scientists, conduct research projects, and communicate results and recommendations to leadership.
Requirements
- 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)
- 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
Benefits
- 401K matching
- bonding leave for new parents (12 weeks, 100% paid)
- tuition assistance
- training
- GM employee auto discount
- community service pay
- nine company holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
predictive modelingprescriptive modelingstatistical modelingAImachine learningnatural language processinglarge language modelsPythonSASSQL
Soft Skills
quantitative skillsanalytical skillsdata interpretationcommunication skillscuriositycreativitycollaborationproject managementpresentation skillsmentoring
Certifications
Master’s DegreePhD