Lead Data Scientist - Boston

A lead data scientist develops and implements complex analytical solutions across marketing and business strategies, managing projects involving data engineering, modelling, and process optimisation. The role requires expertise in statistical methods, machine learning, AI, distributed systems, and open-source programming, with the ability to communicate technical concepts effectively to non-technical audiences. Candidates should have extensive experience with data integration, model validation, and deployment using tools like Python, R, SQL, Hadoop, or AWS, along with familiarity with Linux and Spark. The role involves collaborating with stakeholders to define objectives, visualising results, and advancing analytical practices through research and innovation. A passion for marketing analytics and the ability to thrive in a fast-paced environment are essential, with understanding of generative AI tools seen as an asset.