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, and as one of the world’s most respected nonprofits, we stand out by developing and celebrating our employees. Join us in our shared 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 newly formed Marketing Analytics and Data Science team. This 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. Your role will involve translating complex business questions into actionable analytical frameworks, ensuring modeling outputs are rigorous and aligned with strategic goals.

Key Responsibilities

1. MMM Capability Ownership: Lead the design, validation, and improvement of MMM solutions, collaborating with vendors and internal teams for scalable, accurate models.
2. Cross-Functional Partnership: Work with marketing, finance, and media teams to align modeling efforts with business objectives.
3. Model Quality & Innovation: Ensure data integrity, model validation, and stay ahead of industry trends in MMM and causal inference.
4. Testing & Experimentation Strategy: Design frameworks to evaluate model reliability pre- and post-deployment.
5. Integrated Measurement Strategy: Support integration of MMM with other measurement approaches like MTA.
6. Analytical Framework Development: Translate business challenges into structured approaches in collaboration with stakeholders.
7. Mentorship & Best Practices: Mentor junior team members and promote modeling standards.

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 for leadership.
• Data Engineering Fluency: Knowledge 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 development for donor insights.
• Governance & Transparency: Implement model governance, version control, and explainability tools.
• Strategic Growth Path: Role evolves with ALSAC’s analytics maturity, offering long-term leadership opportunities.

Qualifications

• Bachelor’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-based offices. #LI-TM1

Benefits & Perks

• Medical, Dental, Vision insurance plans
• 401K with 7% Employer Contribution
• Paid Time Off, Maternity/Paternity Leave, Adoption Assistance, Education Assistance
• Learning and Development opportunities
• And more

ALSAC is an equal opportunity employer.

We do not discriminate based on race, color, religion, sex, national origin, 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.