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.
ResponsibilitiesAbout the role:
The Senior Data Scientist 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. The Senior Data Scientist is the subject matter expert with an in-depth knowledge of quantitative methods and diligent knowledge of data sources and tools.
In this role you will:
- Provides leadership, coaching, and/or mentoring to Data Scientists I and II
- Performs research, analysis, and modeling on organizational data
- Assists in analyzing key metrics and performing data analysis
- Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
- Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
- Presents findings and analysis for use in decision making
- Ensures that the delivered products meet the business needs of the company
- Partners 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
- Prioritizes tasks and meets project deadlines in a fast paced work environment
What makes you an ideal candidate?
- 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
- Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, PowerPoint
- Ability to design and implement model documentation and monitoring protocols
- Comprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques
- Efficiently work with large datasets
- Provides leadership, coaching, and/or mentoring to Data Scientists I and II
- 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
- 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
Experience and Education
- 4+ years of experience as a Data Scientist or similar quantitative field 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-SC1
Skills Required
- 4+ years of experience as a Data Scientist or in a similar quantitative field
- Master's degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics, or a similar quantitative field
- Strong quantitative, analytical, and data interpretation skills
- Foundation in mathematics, probability, and statistics
- Advanced knowledge of 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
- Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, and PowerPoint
- Ability to design and implement model documentation and monitoring protocols
- Experience with technical systems, datasets, data warehouses, and data analysis techniques
- Ability to efficiently work with large datasets
- Strong written and verbal presentation skills, including communication with senior management
- Ability to conduct research projects, analyze data, develop recommendations, and communicate business impact
- Leadership, coaching, or mentoring experience
- Ability to manage multiple projects and meet time-sensitive deadlines
- Strong problem-solving, analytical thinking, collaboration, and research skills
- Ability to use AI tools such as Microsoft Copilot to support daily work
- Ability to evaluate AI outputs for accuracy, compliance, and bias
- Experience integrating AI into workflows
- Understanding of responsible AI use, ethics, and data protection
GM Financial Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GM Financial and has not been reviewed or approved by GM Financial.
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Strong & Reliable Incentives — Annual and performance bonuses are described as meaningful additions to total compensation. In several functions, incentives reliably boost take-home pay when available.
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Leave & Time Off Breadth — Generous paid time off, corporate and floating holidays, and paid volunteer time are emphasized. Time-away programs contribute significantly to perceived total rewards.
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Parental & Family Support — Paid parental leave and family-friendly policies are highlighted, with recent expansions mentioned in some areas. Support for bonding time is seen as a notable strength of the package.
GM Financial Insights
What We Do
GM Financial is the captive finance company and the wholly owned subsidiary of General Motors and is headquartered in Fort Worth, Texas. The company is a global provider of auto finance solutions, with operations in North America, Latin America and China. Through our long-standing relationships with auto dealers, we offer attractive retail loan 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. GM Financial employs more than 9,000 hard-working team members, and we're always looking for new people with diverse talents. GM Financial is a workplace where dedicated people have the opportunity to work together and celebrate our successes. Our culture is based on respect, integrity, innovation and personal development. GM Financial is committed to strengthening the communities where we live and work. Each year, we select several philanthropic organizations to support through our Signature Events program. The company and its team members actively support these organizations through many company-wide initiatives; in addition we support numerous other nonprofit organizations through sponsorships and monetary donations.
