FocusKPI, Inc.

Data Scientist

• Research and evaluate statistical and econometric approaches for Media Mix Modeling and marketing effectiveness measurement
• Develop, test, and enhance MMM algorithms across the full modeling lifecycle
• Work with time-series, panel, and observational marketing data to develop robust models of media response and business outcomes
• Explore media response curves, saturation effects, adstock and carryover effects, incrementality and causal inference, channel interaction and synergies, seasonality, trends, external factors, regularization, variable selection, uncertainty estimation, statistical inference, and Bayesian and frequentist modeling approaches
• Develop model diagnostics and validation frameworks assessing model stability, predictive performance, statistical significance, and business interpretability
• Conduct simulation and experimentation to understand algorithm behavior under different data-generating conditions
• Compare modeling methodologies and identify opportunities to improve model accuracy, robustness, and interpretability
• Translate research findings into production-ready algorithms and analytical workflows
• Work with real client datasets and address practical challenges of applying MMM to imperfect business data
• Collaborate with senior data scientists to document methodology, assumptions, limitations, and results
• Contribute to next-generation MMM capabilities within FocusKPI

PhD Data Science Intern – Media Mix Modeling