The role involves designing, developing, and scaling advanced marketing analytics solutions to address strategic client business problems. Responsibilities include building high-performance models and machine learning algorithms while ensuring the accuracy and reliability of platform insights. The individual will collaborate with product development stakeholders to integrate these solutions into the company's analytics platform. Additionally, the position requires refining existing models to improve efficiency and serving as a support resource for technical issues. The role also entails mentoring team members and identifying opportunities to apply new advancements in marketing science to the platform.

Candidates must possess at least six years of relevant experience in a data or decision science field. A Master’s degree or higher in Statistics, Mathematics, Econometrics, Computer Science, or a related field is required. Applicants need strong theoretical and practical knowledge of statistical modeling in both Frequentist and Bayesian frameworks, as well as expertise in machine learning and AI algorithms. Proficiency in Python, R, and SQL is necessary, along with experience using code editors and product development tools.