Staff, Data Scientist

Walmart Walmart · Retail · Bangalore, KA, India

Staff Data Scientist role at Walmart Global Tech focused on using GenAI, AI, ML, NLP, LLM, and computer vision to build and deploy models for product catalog accuracy, completeness, and optimization. The role involves integrating solutions into business processes, developing best practices, mentoring, consulting with stakeholders, and potentially publishing research. Requires a PhD or equivalent experience with a strong background in AI/ML modeling, publications, vision-based models, and e-commerce domain experience.

What you'd actually do

  1. Design, develop, and deploy AI/ML, NLP, LLM and GenAI models into production environments with a focus on reliability and scalability Develop efficient and scalable models at Walmart scale.
  2. Integrate data science solutions into current business processes.
  3. Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.
  4. Mentor peers and junior members and handle multiple projects at the same time.
  5. Consult with business stakeholders across stores and e-commerce businesses regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.

Skills

Required

  • AI/ML modeling
  • NLP
  • LLM
  • GenAI
  • computer vision
  • Python
  • data science
  • big data
  • ML engineering stack
  • e-commerce domain

Nice to have

  • statistics
  • deep learning
  • optimization
  • NIPS
  • ICML
  • AAAI

What the JD emphasized

  • PhD with >5 years of relevant experience / 4-year bachelor’s degree with > 10 years of experience / Master’s degree with > 8 years of experience.
  • Demonstrated history of strong hands-on experience in AI/ML modeling
  • Proven records of scientific publications or intellectual property generation
  • Past experience in building Vision based models

Other signals

  • Generative AI
  • LLM
  • AI/ML models
  • production environments
  • Walmart scale
  • retail industry
  • computer vision
  • product classification
  • attribute extraction
  • trust & safety
  • catalog optimization