Job DescriptionThis position will be posted until filled.
ResponsibilitiesAbout the roleThe Manager of Data Science is the subject matter expert with an in-depth knowledge of quantitative methods and diligent knowledge of data sources and tools. The Manager of Data Science brings a strong ability for independent learning and is therefore regarded as a technical expert in the latest advances in Data Science.
In this role you will:- Lead the development, deployment, and maintenance of predictive, prescriptive, and statistical models across areas such as originations, collections, risk, pricing, fraud, customer experience, and marketing.
- Provide technical leadership and mentorship to Data Scientists, guiding problem formulation, model development, deployment strategies, and adherence to Data Science best practices and processes.
- Apply advanced machine learning, statistical, forecasting, optimization, and data mining techniques to solve complex business problems and drive business outcomes.
- Lead research, analysis, and modeling efforts to quantify the impact of internal and external factors on portfolio performance and key business metrics.
- Design and execute studies utilizing descriptive analytics, supervised machine learning, and advanced statistical methodologies.
- Develop and apply innovative algorithms and models to improve operations, support decision-making, and answer complex business questions.
- Coordinate project activities, provide technical oversight, and ensure analytics solutions meet business objectives and stakeholder needs.
- Partner with business leaders to identify opportunities for analytics, provide strategic recommendations, and communicate findings to senior leadership.
- Present complex analytical findings and recommendations to a variety of stakeholders through clear, concise reports and presentations.
- Lead research initiatives from project design and data collection through analysis, recommendations, and implementation.
- Provide leadership, coaching, mentoring, and technical training to Data Scientists across the organization.
- Prioritize multiple initiatives and deliver high-quality work in a fast-paced environment.
QualificationsWhat makes you an ideal candidate?- Advanced quantitative and analytical skills with a strong foundation in mathematics, probability, statistics, machine learning, and predictive modeling.
- Ability to translate complex business challenges into analytical solutions, formulate quantitative problem statements, and articulate business value.
- Deep knowledge of statistical and machine learning methodologies, including regression techniques, time series analysis, survival analysis, clustering, decision trees, optimization, simulation, dimensionality reduction, and other advanced analytical methods.
- Strong programming and analytical tool experience, including Python, SAS, SQL, R, JMP, and Microsoft Office applications, with a preference for experience using Python frameworks such as TensorFlow and Keras.
- Experience designing, deploying, documenting, monitoring, and maintaining analytical models and machine learning solutions, including DevOps/MLOps practices and Azure DevOps environments.
- Comprehensive knowledge of data architecture concepts, including data warehouses, data lakes, big data platforms, and large-scale dataset analysis.
- Strong written, verbal, and presentation skills with the ability to communicate complex technical concepts and insights to senior leaders and business stakeholders.
- Demonstrated curiosity, critical thinking, and problem-solving skills, with the ability to conduct independent research and develop innovative solutions to business challenges.
- Proven ability to build collaborative relationships and effectively partner with technical teams, business stakeholders, and leadership.
- Experience leading multiple projects simultaneously, prioritizing competing demands, and mentoring others in a fast-paced environment.
- Familiarity with Agile, Lean Development, and structured problem-solving methodologies.
Additional Knowledge and SkillsWorking 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 & Education- 5+ years as a Data Scientist or similar quantitative field required
- 1+ years in a project leadership role required
- Master's Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Physics, Computer Science, or similar quantitative field Required
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.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2-days a week in office in Fort Worth, Texas
This position is not open to agency submissions#GMFJobs #LI-Hybrid #LI-SC1
