ALSAC is seeking a Principal Data Scientist to lead the development and evolution of Marketing Mix Modeling (MMM) capabilities to help St. Jude cure childhood cancer
Requirements
Expertise in MTA, Bayesian modeling, Markov chains, SEM, and survival analysis
Skilled in causal inference techniques (DiD, synthetic control, BART)
Ability to tailor models to varying data richness across channels
Experience building modular forecasting pipelines with elasticity-aware logic
Skilled in designing scenario simulators with constraints and real-time feedback
Familiarity with ensemble models, neural networks, and meta-modeling
Deep understanding of feature engineering, temporal alignment, and data lineage
Responsibilities
Lead the design, validation, and continuous improvement of MMM solutions
Collaborate with vendors and internal teams to ensure scalable, accurate, and business-aligned models
Champion data integrity, model validation, and methodological innovation
Design robust testing frameworks to evaluate model reliability pre- and post-deployment
Support integration of MMM with other measurement approaches to enable a unified view of marketing performance
Translate complex business challenges into structured analytical approaches
Mentor junior team members, promote modeling standards, and foster a culture of excellence and continuous learning
Other
Bachelor's degree in Statistics, Economics, Computer Science, or related quantitative field required
10+ years of experience in marketing analytics, data science, or econometric modeling, with a focus on MMM
Advanced degree (Master's or PhD) strongly preferred
Demonstrated success in enterprise-scale modeling and strategic analytics leadership
Proven ability to translate complex outputs into executive-ready insights
