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

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

St. Jude Children's Research HospitalLos Angeles, CA, United States
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At ALSAC, you do more than make a living; you make a difference. We value diversity and innovation, as we are a respected nonprofit dedicated to curing childhood cancer through our partnership with St. Jude. We invite game-changers, innovators, and visionaries to join our team and contribute to 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 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. You will provide technical leadership , collaborate with external vendors in a build-operate-transfer model , and mentor junior data scientists. Your work will translate complex business questions into actionable analytical frameworks, ensuring modeling outputs are rigorous and aligned with strategic goals.

Key Responsibilities

  • MMM Capability Ownership : Lead the 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 insights are relevant and actionable.
  • Model Quality & Innovation : Champion data integrity, model validation, and methodological innovation, staying ahead of industry trends in MMM, MTA, and causal inference.
  • Testing & Experimentation Strategy : Design testing frameworks to evaluate model reliability before and after deployment.
  • Integrated Measurement Strategy : Support the integration of MMM with other measurement approaches like MTA for a unified view of marketing performance.
  • Analytical Framework Development : Translate complex 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 and continuous learning.

Top Skills & Experience

  • Advanced Modeling & Causal Inference : Expertise in MTA, Bayesian modeling, Markov chains, SEM, survival analysis, and causal inference techniques (DiD, synthetic control, BART). Ability to tailor models to varying data richness.
  • Enterprise-Scale Forecasting & Simulation : Experience building modular forecasting pipelines, designing scenario simulators, and familiarity with ensemble models, neural networks, and meta-modeling.
  • Strategic Insight & Stakeholder Engagement : Ability to translate outputs into insights, present to senior leadership, and communicate uncertainty and scenario governance.
  • Data Engineering Fluency : Deep understanding of feature engineering, temporal alignment, data lineage, and collaboration with ML engineers and MLOps teams. Proficient with structured / unstructured data from CRM, media, finance, and APIs.

    • Additional Impact Areas

  • Enterprise-Wide Modeling : Extend MMM frameworks to include donor experience, bequests, and internal investments.
  • Scenario Simulation Leadership : Co-lead the design of ALSAC’s What-If Scenario Simulator for strategic planning.
  • AI & GenAI Innovation : Contribute to AI agent and GenAI tool development for donor intelligence and scenario planning.
  • Governance & Transparency : Implement model governance, version control, and explainability tools (e.g., SHAP, LIME).
  • Strategic Growth Path : This role evolves with ALSAC’s analytics maturity, offering long-term leadership opportunities.

    • Qualifications

  • Bachelor’s degree in Statistics, Economics, Computer Science, or related field required.
  • 10+ years of experience 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 territory offices. #LI-TM1

    Benefits & Perks

    We offer comprehensive benefits for full-time roles, including :

  • Medical, Dental, and Vision insurance
  • 401K with 7% employer contribution
  • Paid time off, maternity / paternity leave, infertility treatment, adoption assistance, education assistance, and learning and development programs
  • 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 other protected categories.

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

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