GM Financial
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Sr Data Scientist
role at
GM Financial
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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.
Job Description Our Purpose: We pioneer the innovations that move and connect people to what matters.
About the role 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.
Job Duties
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
Qualifications
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, 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
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
Experience and Education
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, minimum of 2‑days a week in office in Fort Worth, Texas.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
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Sr Data Scientist
role at
GM Financial
Get AI‑powered advice on this job and more exclusive features.
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.
Job Description Our Purpose: We pioneer the innovations that move and connect people to what matters.
About the role 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.
Job Duties
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
Qualifications
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, 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
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
Experience and Education
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, minimum of 2‑days a week in office in Fort Worth, Texas.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
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