Conduct research and develop Media Mix Modeling algorithms using statistical, econometric, Bayesian, and causal inference methods. Work with time-series, panel, and marketing data; build models end-to-end; develop diagnostics and validation frameworks; run simulations; compare methodologies; and translate research into production-ready analytical solutions. Collaborate with senior data scientists on real client datasets and document methodology, assumptions, limitations, and results.