Manager, Data Scientist, Generative AI Systems (Genesis)

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Job Overview

The Manager, Data Scientist, Generative AI Systems (Genesis) at Capital One will be responsible for leading a team of data scientists to develop and implement innovative generative AI solutions that drive business value and enhance customer experience. This role encompasses strategic leadership, project management, and technical oversight, requiring a blend of advanced analytical skills and practical business acumen. The successful candidate will leverage their expertise in AI and machine learning to guide the team in creating cutting-edge algorithms and models, ensuring alignment with corporate objectives and fostering a culture of continuous improvement and innovation.

Job Responsibilities

• Lead and mentor a team of data scientists in the development of generative AI models and applications.
• Collaborate with cross-functional teams to identify business needs and define AI-driven solutions.
• Oversee the design and execution of experiments to validate and assess the performance of generative models.
• Manage project timelines, deliverables, and stakeholder communications effectively.
• Stay updated with the latest trends in generative AI and machine learning technologies to guide strategic direction.
• Ensure best practices in data handling, governance, and compliance are adhered to within projects.
• Generate insightful reports and presentations for senior management on project progress and outcomes.

Qualifications

• A Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
• At least 5 years of experience in data science, machine learning, or artificial intelligence, with a focus on generative models.
• Proven experience in leading diverse teams and managing complex projects from conception to deployment.
• Strong programming skills in languages such as Python, R, or Java, with proficiency in using relevant data science libraries.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and data management.
• Excellent communication and interpersonal skills, with the ability to articulate technical concepts to non-technical stakeholders.

Technologies & Tools

The Manager, Data Scientist, Generative AI Systems will utilize a variety of technologies and tools that include but are not limited to machine learning frameworks such as TensorFlow and PyTorch, data manipulation and analysis tools like Pandas and NumPy, and cloud services for model deployment, including AWS SageMaker and Google Cloud AI. The role also entails the use of database systems such as SQL and NoSQL for efficient data storage and retrieval, as well as visualization tools like Tableau or Power BI for data presentation.

Ideal Candidates

The ideal candidates for this position are individuals who possess a strong analytical mindset combined with practical problem-solving skills. They should demonstrate leadership qualities, inspiring and motivating their teams while fostering a collaborative environment. Proactive thinkers who can adapt to changing technologies and business environments will thrive in this role. Furthermore, candidates should exhibit a passion for innovation and the pursuit of excellence, along with the ability to communicate complex ideas clearly and effectively to a wide range of stakeholders.