Principal Data Scientist, Marketing Analytics and Data ...

At ALSAC, you do more than make a living; you make a difference. We value diversity and innovation, reflecting our unique identity as a leading nonprofit dedicated to curing childhood cancer through St. Jude. Job Description ALSAC is seeking a visionary Principal Data Scientist to lead the development of our Marketing Mix Modeling (MMM) capabilities within a new Marketing Analytics and Data Science team. This role offers a unique opportunity to shape measurement frameworks, drive strategic planning through scenario simulation, and pioneer AI-driven innovations 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. Your responsibilities include translating complex business questions into actionable analytical frameworks, ensuring rigorous and strategic model outputs.Key ResponsibilitiesMMM Capability Ownership: Lead design, validation, and continuous improvement of MMM solutions, collaborating with vendors and internal teams for scalable, accurate models.Cross-Functional Partnership: Work with marketing, finance, and media teams to align modeling efforts with business objectives and ensure actionable insights.Model Quality & Innovation: Champion data integrity, model validation, and stay ahead of industry trends in MMM, MTA, and causal inference.Testing & Experimentation Strategy: Design testing frameworks to evaluate model reliability pre- and tegrated Measurement Strategy: Support integration of MMM with other measurement approaches like MTA for a unified view of marketing performance.Analytical Framework Development: Translate business challenges into structured analytical approaches, collaborating with analysts and stakeholders.Mentorship & Best Practices: Mentor junior team members, promote modeling standards, and foster a culture of excellence.Top Skills & ExperienceAdvanced Modeling & Causal Inference: Expertise in MTA, Bayesian modeling, Markov chains, SEM, survival analysis, and causal inference techniques.Enterprise-Scale Forecasting & Simulation: Experience building modular forecasting pipelines and designing scenario simulators.Strategic Insight & Stakeholder Engagement: Ability to translate complex outputs into executive insights and communicate uncertainty effectively.Data Engineering Fluency: Knowledge of feature engineering, data lineage, and collaboration with ML teams.Additional Impact AreasExtend MMM frameworks to include donor experience and investments.Co-lead the design of ALSAC’s What-If Scenario Simulator.Contribute to AI and GenAI tools for donor intelligence.Implement model governance, version control, and explainability tools.Long-term leadership opportunities aligned with ALSAC’s analytics growth.QualificationsBachelor’s degree in Statistics, Economics, Computer Science, or related field.10+ years in marketing analytics, data science, or econometric modeling, focusing on MMM.Advanced degree (Master’s or PhD) preferred.Proven success in enterprise-scale modeling and strategic analytics leadership. This role is based at our National Headquarters in Memphis or any of our 28 US territory offices. #LI-TM1 Benefits & Perks Medical, Dental, Vision insurance plans401K with 7% Employer ContributionPaid Time Off, Maternity/Paternity Leave, Adoption AssistanceEducation Assistance, Learning & DevelopmentAnd more ALSAC is an equal opportunity employer and does not discriminate in employment. We do not accept unsolicited assistance from search firms for employment opportunities. Resumes submitted without authorization will not be considered for a fee. #J-18808-Ljbffr

Created: 2025-09-17