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

Job description

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

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.

You’ll 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 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 quantitative field required.
  
  


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


• Advanced degree (Master’s or PhD) strongly preferred.
  
  


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

This role is based out of our National Headquarters in Memphis or in any of our 28 US-based territory offices.

Benefits & Perks

• 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

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Non-profit Organizations

Required Skill Profession

Mathematical Science Occupations