Principal, Data Scientist

Walmart · Retail · Bentonville, AR +1

Principal Data Scientist role at Walmart Global Tech focusing on applying advanced ML and statistical models to solve business problems in retail and finance. The role involves driving data-derived insights, building and training AI/ML models, communicating recommendations, and leading the adoption and deployment of ML products. Experience with various ML techniques, Gen-AI, cloud platforms (GCP/Azure), and big data technologies is required, with a focus on scaling and deploying solutions.

What you'd actually do

  1. Consult with business stakeholders regarding algorithm-based recommendations and be a thought leader to develop these into business actions.
  2. Closely partner with the Senior Manager and Director of Data Science to drive data science adoption in the domain.
  3. Guide data scientists, senior data scientists, and staff data scientists across multiple sub-domains to ensure on-time delivery of ML products.
  4. Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability, and multi-tenancy.
  5. Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products.

Skills

Required

  • Bachelors, Masters, or Ph.D. in Computer Science, Statistics, Mathematics, or a related area
  • 10-15 years of relevant experience
  • 10 years of experience as a data science technical lead
  • Experience leading multiple data science projects end-to-end
  • Deep experience in building data science solutions (fraud prevention, forecasting, shrink/waste reduction, inventory management, recommendation, assortment, price optimization)
  • Deep experience leading multiple data science initiatives end-to-end
  • Strong experience in machine learning (classification, regression, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning, experimentation, Gen-AI)
  • Ability to scale and deploy data science solutions
  • Strong experience with Python and R
  • Experience in GCP/Azure
  • Strong experience in Python, Py Spark
  • Google Cloud Platform, Vertex AI, Kubeflow, model deployment
  • Strong experience with big data platforms Hadoop (Hive, Map Reduce, HQL, Scala)
  • Experience with GPU/CUDA for computational efficiency

Nice to have

  • Experience in Gen-AI: embedding generation, vector databases, LLM gateways, RAG-based LLM agents, model selection, prompt engineering, fine-tuning, monitoring, and governance

What the JD emphasized

  • 10-15 years of relevant experience
  • Minimum 10 years of experience as a data science technical lead
  • Deep experience in building data science solutions in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment, and price optimization.
  • Deep experience in simultaneously leading multiple data science initiatives end-to-end from translating business needs to analytical asks, leading the process of building solutions, and the eventual act of deployment and maintenance of them.
  • Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning, experimentation, and Gen-AI.

Other signals

  • build and train AI/ML models
  • deploy machine learning algorithms
  • productize our solutions
  • build, scale, and deploy holistic data science products