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St. Jude Children's Research Hospital

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

St. Jude Children's Research Hospital, Seattle

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

We value diversity and innovation, reflecting our identity as a respected nonprofit dedicated to helping St. Jude cure childhood cancer. We invite game-changers, innovators, 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 newly formed Marketing Analytics and Data Science team. This is a net-new role offering the 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 involves translating complex business questions into actionable analytical frameworks, ensuring models are rigorous and aligned with strategic goals.

Key Responsibilities

  1. MMM Capability Ownership: Lead 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 and ensure insights are actionable.
  3. Model Quality & Innovation: Ensure data integrity, model validation, and stay ahead of industry trends in MMM, MTA, and causal inference.
  4. Testing & Experimentation Strategy: Design frameworks to evaluate model reliability before and after deployment.
  5. Integrated Measurement Strategy: Support the integration of MMM with other approaches like MTA for a unified marketing performance view.
  6. Analytical Framework Development: Translate business challenges into structured approaches, collaborating with analysts and stakeholders.
  7. Mentorship & Best Practices: Mentor junior team members, promote modeling standards, and foster continuous learning.

Top Skills & Experience

I. Advanced Modeling & Causal Inference:

  • Expertise in MTA, Bayesian modeling, Markov chains, SEM, and survival analysis.
  • Skilled in causal inference techniques like DiD, synthetic control, BART.
  • Ability to adapt models to varying data across channels.

II. Enterprise-Scale Forecasting & Simulation:

  • Experience building modular forecasting pipelines with elasticity-aware logic.
  • Design scenario simulators with constraints and real-time feedback.
  • Familiarity with ensemble models, neural networks, and meta-modeling.

III. Strategic Insight & Stakeholder Engagement:

  • Ability to translate complex outputs into executive insights.
  • Experience presenting to senior leadership and crafting strategic narratives.
  • Communicating uncertainty and scenario governance.

IV. Data Engineering Fluency:

  • Deep understanding of feature engineering, temporal alignment, and data lineage.
  • Experience working with ML engineers and MLOps teams.
  • Proficiency with structured/unstructured data across CRM, media, finance, and APIs.

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 agent and GenAI tool development.
  • 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 can be based at our National Headquarters in Memphis or any of our 28 US territory offices. #LI-TM1

Benefits & Perks

Benefits apply to full-time roles and include:

  • Medical, Dental, Vision insurance
  • 401K with 7% employer contribution
  • Paid time off, maternity/paternity leave, infertility treatment, adoption assistance, education support, and more

ALSAC is an equal employment opportunity employer.

We do not discriminate based on race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability, veteran status, genetic information, or other protected classes.

No Search Firms: ALSAC does not accept unsolicited assistance from search firms without a valid agreement.

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