The role involves collaborating with practice leaders, engineers, and cross-functional stakeholders to address complex business challenges through data science and artificial intelligence. Responsibilities include designing and implementing generative AI and large language model solutions, as well as managing end-to-end data science initiatives. The position requires translating business needs into actionable solutions while evaluating various methodologies and project trade-offs. Additionally, the role entails building and managing agentic systems, optimizing data pipelines, and conducting exploratory data analysis to inform strategic decisions. The individual will also oversee the deployment of models into production environments and ensure the reliability and safety of AI implementations.

The role requires at least five years of hands-on experience in data science, specifically in model building and machine learning operations. Candidates must possess experience in people management, email marketing, and direct marketing. Proficiency in Python, SQL, and various data processing libraries is mandatory, alongside a solid understanding of data engineering practices and cloud data platforms. Strong communication skills are necessary for engaging directly with clients and collaborating across functional teams.