Experience in Data Science, with at least 3 years of hands-on experience in Marketing Mix Modelling (brand equity modelling experience is preferred). - Experienced in end-to-end MMM solution development: requirements gathering, data processing, EDA, modelling (both short-term and long-term), and optimization. - Working knowledge of the marketing domain and a explicit understanding of concepts such as adstock, carryover, and saturation. - Deep understanding of various algorithms applicable in MMM (additive and multiplicative models, Bayesian Regression, etc.). - Well-versed in optimization techniques with prior experience solving media budget optimization problems in Python or R. - Strong coding skills in Python are essential, including the ability to develop production-level code following best practices and experience with Git. - Excellent stakeholder management skills