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Principal Data Scientist, Marketing Analytics and Data Science (Memphis, TN or C

Principal Data Scientist, Marketing Analytics and Data Science (Memphis, TN or C

St. Jude Children's Research HospitalCoppell, TX, United States
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At ALSAC, you do more than make a living; you make a difference. We value diversity because we are different. As a leading nonprofit, we understand what it means to stand out. We are looking for individuals with unique backgrounds, perspectives, and a desire to make an impact. Our mission is to help St. Jude cure childhood cancer, and we invite game-changers, innovators, and visionaries to join us. At ALSAC, we celebrate our employees and encourage authentic self-expression. Join us in 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 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. You 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 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 actionable.
  • Model Quality & Innovation : Ensure 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 before and after deployment.
  • Integrated 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 approaches, collaborating with analysts and stakeholders.
  • Mentorship & Best Practices : Mentor junior team members, promote modeling standards, and foster a culture of excellence and 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 (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.
  • Knowledge of ensemble models, neural networks, and meta-modeling.
  • III. Strategic Insight & Stakeholder Engagement

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

  • Understanding feature engineering, temporal alignment, and data lineage.
  • Collaborating with ML engineers and MLOps teams.
  • Proficiency with structured / unstructured data from CRM, media, finance, APIs.
  • Additional Impact Areas

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

  • Bachelor’s in Statistics, Economics, Computer Science, or related field.
  • 10+ years in marketing analytics, data science, or econometric modeling, with MMM focus.
  • Advanced degree (Master’s or PhD) preferred.
  • Proven success in enterprise-scale modeling and strategic analytics leadership.
  • LI-TM1

    Benefits & Perks

    Applicable to Full-Time Roles . We’re committed to children’s well-being and employee benefits :

  • Medical, Dental, Vision plans
  • 401K with 7% employer contribution
  • Paid Time Off
  • Maternity / Paternity Leave
  • Infertility Treatment, Adoption Assistance, Education Assistance
  • Learning & Development
  • 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, genetic information, or other protected classes.

    No Search Firms : ALSAC does not accept unsolicited resumes from search firms without a valid agreement. Resumes submitted without approval will not incur a fee if hired.

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    Principal Data Scientist • Coppell, TX, United States