Principal Data Scientist, Marketing Analytics and Data Science (Hybrid)

Overview

ALSAC is seeking a visionary Principal Data Scientist to lead the development and evolution of our Marketing Mix Modeling (MMM) capabilities within a newly formed Marketing Analytics and Data Science team. This net-new role offers a unique opportunity to shape enterprise-wide measurement frameworks, drive strategic planning through scenario simulation, and pioneer AI-driven innovation in donor intelligence. As a senior individual contributor, you will provide technical leadership , collaborate with external vendors in a build-operate-transfer model , and mentor junior data scientists. You’ll translate complex business questions into actionable analytical frameworks, ensuring modeling outputs are both rigorous and aligned with strategic goals.

Key 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.
• Cross-Functional Partnership : Work closely with marketing, finance, and media teams to align modeling efforts with business objectives and ensure insights are relevant and actionable.
• Model Quality & Innovation : Champion data integrity, model validation, and methodological innovation. Stay ahead of industry trends in MMM, MTA, and causal inference.
• 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. Collaborate with analysts and stakeholders to ensure alignment with strategic goals.
• Mentorship & Best Practices : Mentor junior team members, promote modeling standards, and foster a culture of excellence and continuous learning.

Top Skills & Experience

Expertise in MTA, Bayesian modeling, Markov chains, SEM, and survival analysis.

Experience building modular forecasting pipelines with elasticity-aware logic.

Proven ability to translate complex outputs into executive-ready insights.

Deep understanding of feature engineering, temporal alignment, and data lineage.

Additional Impact Areas

Qualifications

This role is going to be based out of our National Headquarters in Memphis Or in any of our 28 US-based territory offices.

Benefits & Perks

ALSAC is an equal employment opportunity employer.

ALSAC does not discriminate against any individual with regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status.

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