Lead Data Scientist

JOB DESCRIPTION

Why GM Financial Technology

Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry. Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

RESPONSIBILITIES

About the role:

The Lead Data Scientist - AI Focused role is responsible for designing, developing, and deploying advanced AI solutions, including Generative and Agentic AI Agents, to support key business functions. This position emphasizes hands-on technical leadership in AI and machine learning, ensuring scalable and secure implementations. The role collaborates closely with cross-functional teams to drive AI adoption and innovation, while maintaining alignment with organizational priorities and compliance standards.

• Lead the development and deployment of AI-driven solutions, with a strong emphasis on Generative and Agentic AI technologies.
• Collaborate with Data Science, IT, and business teams to implement scalable AI solutions.
• Support enterprise AI initiatives under the guidance of senior leadership, focusing on operationalization and adoption.
• Conduct research and experimentation on emerging AI technologies to enhance organizational capabilities.
• Mentor and coach junior data scientists in AI methodologies and best practices.
• Ensure compliance with data privacy, security, and regulatory standards in all AI implementations.
• Monitor and optimize AI model performance; develop dashboards and reporting tools for stakeholders.
• Participate in automation and process improvement initiatives leveraging AI technologies.

• Deep understanding of AI/ML concepts, including Generative AI and Agentic AI
• Knowledge of advanced statistical modeling, predictive analytics, and machine learning algorithms
• Familiarity with AI frameworks and platforms such as OpenAI, Claude, LLaMA, LangChain, and AutoGPT
• Understanding of data governance, privacy standards, and compliance requirements
• Solid understanding of IT architectural patterns, system integration, and enterprise technology stacks
• Familiarity with RESTful APIs, microservices, and best practices for secure and scalable API design
• Awareness of data flow, security, and compliance considerations in system implementations
• Hands-on experience with machine learning and AI platforms (Python, R, SAS) and modern AI frameworks
• Proficiency in programming languages and tools for AI development and integration
• Strong problem-solving and analytical skills; able to translate business problems into AI-driven solutions
• Effective communication and presentation skills; able to explain complex AI concepts to non-technical audiences
• Ability to design and implement API-driven solutions for seamless integration with enterprise systems
• Experience collaborating with IT and engineering teams to ensure AI/ML solutions align with existing infrastructure
• Proficient in troubleshooting and optimizing data pipelines and system interfaces for robust performance

• Master's Degree or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Computational Science or Engineering Required
• 5-7 years in related field or function required
• 5-7 years leading through mentorship in related field preferred
• 5-7 years leading projects and initiatives through influence preferred