(usa) Senior Manager, Data Science

Walmart Walmart · Retail · Bentonville, AR

Senior Manager, Data Science role at Walmart focusing on production ML, forecasting, agentic AI, and LLMs. Requires end-to-end ownership of production ML expertise, shipping forecasting models, building/deploying agentic systems or LLM applications, and deploying models to production infrastructure. The role involves deep ML/AI hands-on experience, Python coding, expertise in forecasting techniques, LLM knowledge, and MLOps practices.

What you'd actually do

  1. Take end-to-end ownership of Production ML expertise with measurable impact
  2. Shipped production forecasting models
  3. Built/deployed agentic systems or LLM applications
  4. Deployed models (Docker, Kubernetes, APIs)
  5. Owned ML pipelines: ingestion → training → serving → monitoring

Skills

Required

  • Python
  • ARIMA
  • Prophet
  • XGBoost
  • temporal NNs
  • Transformers
  • LLMs
  • agent orchestration
  • Docker
  • Kubernetes
  • APIs
  • CI/CD
  • distributed computing
  • scaling
  • Git
  • SQL
  • Java
  • C
  • feature relevance
  • Exploratory data analysis
  • Advanced statistical methods
  • advanced modelling techniques
  • NLP
  • Vision
  • neural networks
  • SVM
  • Random Forest
  • Multivariate calculus
  • Statistical models
  • classical optimization techniques
  • Linear Programming
  • Integer Programming
  • Quadratic Programming
  • model deployment
  • model monitoring
  • model performance
  • model formats
  • model parameters
  • model behavior
  • code development
  • testing methods
  • solution design
  • proofs of concept
  • code documentation
  • playbooks
  • progress updates
  • Analytics
  • big data analytics
  • automation techniques
  • business problem formulation
  • root cause analysis
  • technology focused solutions

Nice to have

  • Tableau
  • PowerBI
  • GGplot
  • Matplotlib
  • Ploty
  • R
  • graphical models
  • Bayesian inference
  • auto ML

What the JD emphasized

  • 8+ years
  • Production ML
  • Shipped production forecasting models
  • Built/deployed agentic systems or LLM applications
  • Owned ML pipelines

Other signals

  • production ML
  • forecasting
  • agentic AI
  • LLMs
  • MLOps