St. Jude Children's Research Hospital
Principal Data Scientist, Marketing Analytics and Data Science (Hybrid)
St. Jude Children's Research Hospital, Los Angeles, California, United States, 90079
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr