ALSAC is seeking a Principal Data Scientist to lead the development and evolution of their Marketing Mix Modeling (MMM) capabilities within a newly formed Marketing Analytics and Data Science team. This role aims to shape enterprise-wide measurement frameworks, drive strategic planning through scenario simulation, and pioneer AI-driven innovation in donor intelligence.
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
- MMM Capability Ownership Lead the design, validation, and continuous improvement of MMM solutions.
- Collaborate with vendors and internal teams to ensure scalable, accurate, and business-aligned models.
- Model Quality & Innovation Champion data integrity, model validation, and methodological innovation.
- Testing & Experimentation Strategy Design robust testing frameworks to evaluate model reliability pre- and post-deployment.
- Integrated Measurement Strategy Support integration of MMM with other measurement approaches (e.g., MTA) to enable a unified view of marketing performance.
- Analytical Framework Development Translate complex business challenges into structured analytical approaches.
- Mentorship & Best Practices Mentor junior team members, promote modeling standards, and foster a culture of excellence and continuous learning.
Other
- Provide technical leadership
- Collaborate with external vendors in a build-operate-transfer model
- Mentor junior data scientists.
- Translate complex business questions into actionable analytical frameworks, ensuring modeling outputs are both rigorous and aligned with strategic goals.
- Proven ability to translate complex outputs into executive-ready insights.
