Sr Data Scientist

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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.

Our

Purpose:

We pioneer the innovations that move and connect people to what matters.

The Senior Data Scientist is responsible for implementing the design, development, deployment, and maintenance of predictive, prescriptive, and statistical models in originations, collections, risk, pricing, fraud, customer experience, and marketing. He/she will use forecasting, optimization, data mining, and analysis of complex datasets; conduct studies using descriptive and supervised machine learning methods and advanced statistical techniques; summarize, report, and present findings to a variety of internal clients;

and collaborate with other departments to achieve company objectives. The Senior Data Scientist is a subject‑matter expert with deep knowledge of quantitative methods and data sources and tools.

• Provides leadership, coaching, and 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: incorporates project design, data collection and analysis, summarizes findings, develops recommendations, and effectively communicates 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 provides recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicates analysis and implications to senior leadership
• Prioritizes tasks and meets project deadlines in a fast‑paced work environment

• 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: 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, Power Point
• 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
• 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
• Analytical thinking skills
• Ability to interact collaboratively with internal and external customers
• Capable of managing multiple and varied projects, coordinating and balancing numerous tasks in a time‑sensitive environment, under pressure
• Strong problem‑solving skills

• 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,…