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

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

Join to apply for the

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

role at

St. Jude Children's Research Hospital - ALSAC

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

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Join to apply for the

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

role at

St. Jude Children's Research Hospital - ALSAC

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

We like people who are differentbecause were different, too. As one of the worlds most iconic and respected nonprofits, we know what its like to stand out. Thats why were looking at you. Your background, perspective, and desire to make an impact set you apart. As we work to help St. Jude cure childhood cancer, we're calling on the game-changers, innovators and visionaries to join our family. Not just for the kids of St. Jude, but also for you. Because at ALSAC, we develop and celebrate our employees. So, bring your whole, authentic self and become part of our shared mission : Finding cures. Saving children.

Job Description

ALSAC is seeking a visionary

Principal Data Scientist

to lead the development and evolution of our

Marketing Mix Modeling (MMM)

capabilities within a newly formed Marketing Analytics and Data Science team. This net-new 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. Youll translate complex business questions into actionable analytical frameworks, ensuring modeling outputs are both 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 scalable, accurate, and business-aligned models.

Cross-Functional Partnership Work closely 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. Stay ahead of industry trends in MMM, MTA, and causal inference.

Testing & Experimentation Strategy Design robust testing frameworks to evaluate model reliability pre- and post-deployment.

Integrated Measurement Strategy Support integration of MMM with other measurement approaches (e.g., MTA) to enable a unified view of marketing performance.

Analytical Framework Development Translate complex business challenges into structured analytical approaches. Collaborate with analysts and stakeholders to ensure alignment with strategic goals.

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.

Skilled in causal inference techniques (DiD, synthetic control, BART).

Ability to tailor models to varying data richness across channels.

II. Enterprise-Scale Forecasting & Simulation

Experience building modular forecasting pipelines with elasticity-aware logic.

Skilled in designing scenario simulators with constraints and real-time feedback.

Familiarity with ensemble models, neural networks, and meta-modeling.

III. Strategic Insight & Stakeholder Engagement

Proven ability to translate complex outputs into executive-ready 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.

Proficient in working 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 internal investments.

Scenario Simulation Leadership : Co-lead the design of ALSACs 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 ALSACs analytics maturity, offering long-term leadership opportunities.

Qualifications

Bachelors degree in Statistics, Economics, Computer Science, or related quantitative field required.

10+ years of experience in marketing analytics, data science, or econometric modeling, with a focus on MMM.

Advanced degree (Masters or PhD) strongly preferred.

Demonstrated success in enterprise-scale modeling and strategic analytics leadership.

This role is going to be based out of our National Headquarters in Memphis Or in any of our 28 US-based territory offices.

Benefits & Perks

The following Benefits & Perks apply to Full-Time Roles Only .

Were dedicated to ensuring children and their families have every opportunity to enjoy lifes special moments. Were also committed to giving our staff excellent benefits so they can do the same.

Core Medical Coverage : (low cost low deductible Medical, Dental, and Vison Insurance plans)

401K Retirement Plan with 7% Employer Contribution

Exceptional Paid Time Off

Maternity / Paternity Leave

Infertility Treatment Program

Adoption Assistance

Education Assistance

Enterprise Learning and Development

And more

ALSAC is an equal employment opportunity employer.

ALSAC does not discriminate against any individual with regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status.

No Search Firms

ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and / or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Industries

Non-profit Organizations

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