You will make an impact by leading the design and implementation of robust analytical solutions to quantify and improve the effectiveness of Walmart's marketing investments. You will drive the adoption and advancement of Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and causal inference methodologies to measure campaign performance and optimize marketing spend for both short- and long-term business objectives. Your expertise in Bayesian MCMC frameworks and stochastic programming will be applied to develop scalable, accurate models that inform strategic marketing decisions. You will define and scope data requirements, ensuring model accuracy, scalability, and actionable insights. Additionally, you will write and optimize complex Python and SQL queries, proactively troubleshoot data and modeling issues, and mentor team members to elevate analytical rigor. As a bridge between technical and business teams, you will translate complex analytical findings into clear, actionable business recommendations, effectively communicating and persuading both technical and non-technical audiences to ensure alignment and understanding across stakeholders. You will demonstrate high ownership and agency, independently leading and executing end-to-end projects in ambiguous and fast-paced environments, setting and managing ambitious timelines, adapting to shifting priorities, and coordinating across multiple teams and stakeholders. Finally, you will synthesize insights from diverse data sources, anticipate stakeholder needs, and connect the dots across research, analytics, and business strategy to drive impactful recommendations.