Data Scientist II

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 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 Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, PowerPointAbility to design and implement model documentation and monitoring protocols Demonstrated understanding and experience with technical systems, datasets, data warehouses, and data analysis techniques Efficiently work with large datasets Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics 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 identify and seek needed information/research skills Analytical thinking skills 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 Strong problem solving skills Additional Knowledge and Skills Working effectively within an AI enabled environment: Ability to use AI tools (e.g., Microsoft Copilot) to support daily work Skills in evaluating AI outputs for accuracy, compliance, and bias Experience integrating AI into workflows to improve efficiency or insights Familiarity with AI assisted research, summarization, and content generation Understanding of responsible AI use, including ethics and data protection Work Experience & Education 2-4 years as 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)

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.

Posting Date: 2026-09-30