(usa) Senior Manager, Data Science

Walmart · Retail · Bentonville, AR

Senior Manager, Data Science to serve as the Technical Lead for a proactive Recommendation Agent initiative. The role involves architecting the system, setting engineering standards, leading code quality and reviews, designing ML monitoring frameworks, and driving Causal AI innovation. This is a Player-Coach role with hands-on development in Python and PySpark.

What you'd actually do

  1. Architect the System Strategy: Define the end-to-end framework for our proactive agent, deciding how we integrate Anomaly Detection, Causal Inference, and Forecasting into a cohesive system.
  2. Lead Code Quality & Reviews: Act as the gatekeeper for the codebase. You will conduct rigorous code reviews, enforce strict Git management workflows (branching strategies, PRs), and mandate comprehensive unit and integration testing.
  3. Model Observability: Design and implement ML Monitoring frameworks to track model performance, data drift, and concept drift in real-time. You ensure the agent doesn't silently fail when the world changes.
  4. Technical Mentorship: Lead the team through design docs and methodology selection. You will elevate the team's engineering maturity, moving them from "notebook scripts" to modular, deployable packages.
  5. Drive Causal Innovation: Spearhead the application of Causal AI to ensure our agents understand _why_ failures happen, moving the team beyond simple correlation.
  6. Hands-On Development: Roll up your sleeves to write high-performance Python and PySpark code for the most complex components of the recommendation engine.

Skills

Required

  • Python
  • SQL
  • PySpark
  • Git Management
  • Unit Tests
  • Integration Tests
  • ML Monitoring
  • Data Drift
  • Model Decay
  • Causal Inference
  • Forecasting
  • Anomaly Detection

Nice to have

  • CI/CD
  • Docker
  • Kubernetes
  • Azure
  • GCP

What the JD emphasized

  • production-grade code
  • tested
  • versioned
  • monitored
  • Git management workflows
  • unit and integration testing
  • ML Monitoring
  • Data Drift
  • Model Decay
  • Python
  • PySpark
  • Causal AI
  • Causal Inference

Other signals

  • Recommendation Agent
  • Anomaly Detection
  • Causal AI
  • Causal Inference
  • ML Monitoring
  • Data Drift
  • Model Decay