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

At ALSAC, you do more than make a living; you make a difference.

We value diversity and innovation, as we are a respected nonprofit committed to curing childhood cancer through our partnership with St. Jude. We invite game-changers and visionaries to join our mission: Finding cures. Saving children.

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 with 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.

Key Responsibilities

1. MMM Capability Ownership: Lead design, validation, and improvement of MMM solutions, ensuring models are scalable, accurate, and aligned with business goals.
2. Cross-Functional Partnership: Collaborate with marketing, finance, and media teams to ensure insights are relevant and actionable.
3. Model Quality & Innovation: Champion data integrity, model validation, and stay ahead of industry trends in MMM, MTA, and causal inference.
4. Testing & Experimentation Strategy: Design testing frameworks to evaluate model reliability before and after deployment.
5. Integrated Measurement Strategy: Support the integration of MMM with other measurement approaches like MTA for a unified marketing performance view.
6. Analytical Framework Development: Translate complex business challenges into structured analytical approaches, collaborating with stakeholders.
7. Mentorship & Best Practices: Mentor junior team members and promote modeling standards and continuous learning.

Top Skills & Experience

• Advanced 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 insights and communicate with senior leadership.
• Data Engineering Fluency: Deep understanding of feature engineering, data lineage, and collaboration with ML teams.

Additional Impact Areas

• Enterprise-Wide Modeling: Extend MMM frameworks to include donor experience, bequests, and investments.
• Scenario Simulation Leadership: Co-lead the design of ALSAC’s What-If Scenario Simulator.
• AI & GenAI Innovation: Contribute to AI and GenAI tools for donor insights and planning.
• Governance & Transparency: Implement model governance, explainability tools, and version control.
• Strategic Growth Path: Evolve with ALSAC’s analytics maturity, offering long-term leadership opportunities.

Qualifications

• Bachelor’s degree in a quantitative field required; advanced degree preferred.
• 10+ years in marketing analytics, data science, or econometric modeling, focusing on MMM.
• 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-based territory offices. #LI-TM1

Benefits & Perks

We’re committed to supporting children and families with excellent benefits:

• Medical, Dental, Vision insurance with low cost and deductible plans
• 401K with 7% employer contribution
• Paid Time Off, Maternity/Paternity Leave, Adoption Assistance
• Education Assistance, Learning & Development
• And more

ALSAC is an equal opportunity employer.

We do not discriminate based on race, religion, sex, age, sexual orientation, gender identity, disability, veteran status, or genetic information.

No Search Firms: We do not accept unsolicited resumes from search firms without a valid agreement.