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Jobs · Information Technology · Arkansas

(USA) Senior Manager, Data Science

Walmart · Bentonville, AR · 2 wk ago
On-siteInformation Technology$110k–$220k/yrFull-time

Position Summary

This role serves as the Technical Lead for an autonomous Recommendation Agent at Walmart Last Mile. The role involves architecting the system, defining the end-to-end framework for anomaly detection, causal inference, and forecasting, and ensuring the system's robustness and scalability.

What you'll do...

  • Arcitect 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.

  • Lead Code Quality & Reviews: Act as the gatekeeper for the codebase. Conduct rigorous code reviews, enforce strict Git management workflows, and mandate comprehensive unit and integration testing.

  • Model Observability: Design and implement ML Monitoring frameworks to track model performance, data drift, and concept drift in real-time.

  • Technical Mentorship: Lead the team through design docs and methodology selection. Elevate the team's engineering maturity, moving them from "notebook scripts" to modular, deployable packages.

  • Drive Causal Innovation: Spearhead the application of Causal AI to ensure our agents understand why failures happen, moving the team beyond simple correlation.

  • Hands-On Development: Roll up your sleeves to write high-performance Python and PySpark code for the most complex components of the recommendation engine.

Required Technical Skills

  • Core Stack: Expert-level fluency in Python and SQL.

  • Big Data: Strong hands-on experience with PySpark.

  • Software Engineering Standards: Advanced proficiency with version control (Git), experience writing and enforcing Unit Tests (pytest/unittest) and Integration Tests, experience implementing ML Monitoring solutions to detect Data Drift and Model Decay in production.

  • Analytical Breadth: Ability to apply causal frameworks to observational data, deep knowledge of time-series modeling and outlier detection methods.

Preferred Qualifications

  • MLOps & DevOps: Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI) and how to automate model training/deployment.

  • Containerization: Experience with Docker or Kubernetes for model serving.

  • Infrastructure: Understanding of cloud infrastructure (Azure/GCP) and how to optimize compute resources for heavy workloads.

  • Leadership & Strategy Technical Authority: A track record of leading technical teams and setting coding standards.

  • Ambiguity Tolerance: Ability to take a vague business goal and decompose it into a concrete, executable roadmap.

  • Education: Advanced degree (MS/PhD) in a quantitative field (CS, Stats, OR, Econ) is preferred.

Why This Role?

You will be the Technical Anchor for one of the most ambitious projects in Walmart’s supply chain. You will have the autonomy to choose the tools, define the architecture, and lead a talented team to build an agent that proactively protects the experience of millions of customers. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet.

Additional Compensation

  • The annual salary range for this position is $110,000.00 - $220,000.00.

  • Additional compensation includes annual or quarterly performance bonuses.

  • Additional compensation for certain positions may also include: Stock.

Minimum Qualifications

  • Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.

  • Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.

  • Option 3: 7 years' experience in an analytics or related field.

Preferred Qualifications

  • Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R.

  • Supervisory experience.

  • Using open source frameworks (for example, scikit learn, tensorflow, torch).

  • We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

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