What are the responsibilities and job description for the Lead Data Scientist position at GM Financial?
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.
In This Role, You Will
QUALIFICATIONS
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 the office.
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.
In This Role, You Will
- L ead 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
QUALIFICATIONS
- 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
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 the office.
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