Data Scientist II

Why GM Financial?GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.Our Purpose: We pioneer the innovations that move and connect people to what matters.This position will be posted until filled. What makes You an ideal candidate?Ability to identify and understand business issues and map these issues into quantitative questionsAdvanced 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 techniquesAdvanced skills in Python, SAS, SQL, R, JMP, Excel, Word, PowerPointAbility to design and implement model documentation and monitoring protocolsDemonstrated understanding and experience with technical systems, datasets, data warehouses, and data analysis techniquesEfficiently work with large datasetsStrong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statisticsStrong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understandAbility to be curious, ask questions, explore, and be creative when analyzing data and business problemsAbility to identify and seek needed information/research skillsAnalytical thinking skillsAbility to interact collaboratively with internal and external customersCapable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressureStrong problem solving skillsAdditional Knowledge and SkillsWorking effectively within an AI enabled environment: Ability to use AI tools (e.g., Microsoft Copilot) to support daily workSkills in evaluating AI outputs for accuracy, compliance, and biasExperience integrating AI into workflows to improve efficiency or insightsFamiliarity with AI assisted research, summarization, and content generationUnderstanding of responsible AI use, including ethics and data protection Work Experience & Education2-4 years as Data Scientist or similar quantitative field requiredHigh School Diploma or equivalent requiredMaster’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)What We Offer: Generous benefits package available on day one to include: 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.Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.Compensation: Competitive pay and bonus eligibility.Work Life Balance: Flexible hybrid work environment, 2-days a week in office.This position is not open to agency submissions#GMFJobs #LI-Hybrid #LI-SC1About the RoleThe Data Scientist II is responsible for implementing the design, development, deployment, and maintenance of predictive/prescriptive/statistical models in originations, collections, risk, pricing, fraud, customer experience and marketing. Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets; Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms; Summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives; Lead in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. In this role you will:Performs research, analysis, and modeling on organizational dataAssists in analyzing key metrics and performing data analysisBuilds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithmsConducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the businessDevelops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questionsPresents findings and analysis for use in decision makingEnsures that the delivered products meet the business needs of the companyPartners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadershipPrioritizes tasks and meets project deadlines in a fast paced work environment.Full timePosting Date: 2026-09-30