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 uniqueness, as we are a distinctive nonprofit dedicated to helping St. Jude cure childhood cancer. We invite game-changers, innovators, and visionaries to join our teamboth for the children and for your personal growth. We foster an environment where employees are celebrated and encouraged to bring their authentic selves to work. 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 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. Your role will be to 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. Collaborate with vendors and internal teams to ensure models are scalable, accurate, and aligned with business needs. Cross-Functional Partnership:

Work closely with marketing, finance, and media teams to ensure modeling efforts support business objectives and produce relevant insights. Model Quality & Innovation:

Ensure data integrity, model validation, and stay updated on industry trends like MMM, MTA, and causal inference. Testing & Experimentation Strategy:

Develop testing frameworks to evaluate model reliability before and after deployment. Integrated Measurement Strategy:

Support the integration of MMM with other measurement tools for a comprehensive view of marketing performance. Analytical Framework Development:

Convert complex business challenges into structured analytical approaches, collaborating with stakeholders for alignment. Mentorship & Best Practices:

Mentor junior team members, promote modeling standards, and foster a culture of excellence and continuous learning. Top Skills & Experience

I. Advanced Modeling & Causal Inference

Expertise in MTA, Bayesian modeling, Markov chains, SEM, and survival analysis. Proficiency in causal inference techniques like DiD, synthetic control, BART. Ability to adapt models to various data qualities across channels. II. Enterprise-Scale Forecasting & Simulation

Experience building modular forecasting pipelines with elasticity-aware logic. Designing 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 executive insights. Experience presenting to senior leadership and crafting strategic narratives. Skilled in communicating uncertainty and scenario governance. IV. Data Engineering Fluency

Deep understanding of feature engineering, temporal alignment, and data lineage. Experience collaborating 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 ALSACs What-If Scenario Simulator. AI & GenAI Innovation:

Contribute to AI agent and GenAI tool development for donor insights and planning. Governance & Transparency:

Implement model governance, version control, and explainability tools like SHAP and LIME. Strategic Growth Path:

Evolve with ALSACs analytics maturity, offering long-term leadership opportunities. Qualifications

Bachelors degree in Statistics, Economics, Computer Science, or related field. 10+ years

in marketing analytics, data science, or econometric modeling, focusing on MMM. Advanced degree (Masters 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

Our full-time roles include: Core Medical Coverage (low-cost, low-deductible plans) 401K with 7% Employer Contribution Paid Time Off Maternity/Paternity Leave Infertility Treatment and 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. #J-18808-Ljbffr