GM Financial

Senior Data Scientist - GM Protection

GM Financial

full-time

Posted on:

Location Type: Hybrid

Location: Fort WorthTexasUnited States

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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