This role supports a major retail client by developing advanced marketing analytics and data science solutions to optimize media investments and drive business growth. You will build Marketing Mix Models, Bayesian models, machine learning solutions, and experimentation frameworks to measure and improve marketing performance across channels. The position requires strong technical expertise, the ability to translate insights into strategic recommendations, and experience working with retail or marketing analytics environments. Key Responsibilities Work directly with one of our clients, a major retail firm, to assist with their marketing analytics and data science initiatives Build hands-on media mix models to quantify impact of marketing and advertising campaigns to optimize investments across a wide range of media channels and tactics Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to stakeholders Conduct data analysis and utilize Bayesian statistics to uncover patterns and insights that inform strategic business decisions Build and utilize machine learning models to perform classification, regression, clustering, forecasting, etc. Develop presentations and reports with relevant findings and be able to present findings to key stakeholders.
