Senior Manager, Data Science Job at Walmart (Bentonville)

Job Description

The Walmart Last Mile team is shifting from reactive tracking to proactive resolution. We are building an autonomous Recommendation Agent capable of detecting anomalies, diagnosing root causes via Causal AI, and prescribing actions to save the customer experience. We are seeking a Senior Manager, Data Science to serve as the Technical Lead for this initiative. You will be a high-impact Individual Contributor (IC) who architects the system and sets the engineering standard for the team.

Job Responsibility

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
Lead Code Quality & Reviews: Act as the gatekeeper for the codebase
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
Drive Causal Innovation: Spearhead the application of Causal AI
Hands-On Development: Write high-performance Python and PySpark code

Requirements

Expert-level fluency in Python and SQL
Strong hands-on experience with PySpark
Advanced proficiency with Git management
Experience writing and enforcing Unit Tests (pytest/unittest) and Integration Tests
Experience implementing monitoring solutions to detect Data Drift and Model Decay in production
Ability to apply causal frameworks to observational data
Deep knowledge of time-series modeling and outlier detection methods
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.

Nice to have

MLOps & DevOps: Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)
Containerization: Experience with Docker or Kubernetes for model serving
Infrastructure: Understanding of cloud infrastructure (Azure/GCP)
Advanced degree (MS/PhD) in a quantitative field (CS, Stats, OR, Econ)
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)
Background in creating inclusive digital experiences, knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies

What we offer

Medical, vision and dental coverage
401(k)
Stock purchase
Company-paid life insurance
PTO (including sick leave)
Parental leave
Family care leave
Bereavement
Jury duty
Voting
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Live Better U education benefit program
Annual or quarterly performance bonuses
Stock

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Senior Manager, Data Science

Job Description

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Requirements

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What we offer

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