Job Description

🧠 Senior Manager, Data Science — Role Overview

This is a high-impact leadership + technical architect role focused on transforming Walmart’s marketing measurement and effectiveness using advanced statistical modeling and AI automation.

The role combines:

• Bayesian Statistics
• Media Mix Modeling (MMM)
• Agentic AI / Generative AI
• Causal Inference
• Production ML Systems
• Strategic Leadership

It’s significantly more advanced than a typical Senior Manager Data Science role.

🚀 Key Responsibilities

1️⃣ Bayesian Media Mix Modeling Leadership

You will:

• Design Bayesian hierarchical MMM using tools like PyMC
• Implement:
  • MCMC sampling
  • Prior distributions
  • Time-varying effects
  • Diminishing returns curves
  • Competitive effects modeling
• Productionize scalable models

This is cutting-edge marketing science work.

2️⃣ Agentic AI Architecture

One of the most unique aspects of this role:

You’ll build multi-agent AI systems to automate:

• Data ingestion & cleaning
• Model versioning
• Prior selection
• Insight generation
• Forecast reporting

This blends LLMs + automation + data science pipelines.

3️⃣ Probabilistic Forecasting & Simulation

Using posterior distributions to:

• Run scenario planning
• Estimate marketing ROI uncertainty
• Support Finance & Marketing decisions

This moves beyond point estimates → decision intelligence.

4️⃣ Causal Measurement Integration

Combining MMM with:

• A/B testing
• Geospatial experiments
• Uplift modeling

Goal: Unified marketing performance view.

5️⃣ Production & Scaling

Partnering with engineering to deploy:

• Automated updating models
• Real-time recommendations
• Marketing platform integrations

This requires strong ML engineering mindset.

6️⃣ Executive Influence

You will:

• Present insights to senior leadership
• Guide marketing budget allocation
• Influence enterprise strategy

So communication skills are critical.

🎯 Ideal Candidate Profile

This role requires a rare combination of:

Advanced Statistics

• Bayesian inference
• MCMC expertise
• Probabilistic modeling

AI / ML Engineering

• PyTorch / TensorFlow
• Production pipelines
• Agentic AI or GenAI systems

Business Strategy

• Marketing analytics
• ROI modeling
• Stakeholder influence

🎓 Education & Experience

Typical strong candidate:

• PhD or Master’s in:
  • Statistics
  • Computer Science
  • Mathematics
  • Econometrics
• 5+ years industry experience
• 2+ years deploying advanced causal/statistical models

💰 Compensation

• Salary: $110,000 – $220,000
• Bonus + stock potential
• Full benefits package
• Education programs (Live Better U)

⭐ Seniority Level

Career level:

Senior Data Scientist → Principal → Senior Manager (this role) → Director → VP

This role is closer to:

👉 Principal Scientist + Team Leader hybrid

🔥 Why This Role Is Special

Compared to typical data science jobs, this one stands out because of:

✅ Bayesian MMM (very niche skill)
✅ Agentic AI integration (cutting-edge)
✅ Enterprise-scale impact
✅ Strong strategic influence
✅ Production ownership

Few companies offer this combination.

⚠️ Who Will Struggle Here

This role may be difficult if someone lacks:

• Bayesian modeling experience
• Production ML deployment experience
• Leadership exposure
• Marketing analytics domain knowledge