Principal, Data Scientist

Walmart · Retail · Bangalore, KA, India

The Principal Data Scientist will apply and develop statistical modeling techniques, optimization methods, and ML techniques to build efficient and scalable models at Walmart scale. This role involves collaborating with business and engineering counterparts, defining model metrics, tracking business impact, and publishing research in top-tier conferences. The focus is on leveraging generative AI, ML, deep learning, and computer vision to improve customer search and e-commerce experiences.

What you'd actually do

  1. Apply and/or develop statistical modelling techniques (such as deep neural networks and Bayesian models), optimization methods and other ML techniques.
  2. Develop efficient and scalable models at Walmart scale.
  3. Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems.
  4. Define and/or own the model goodness metrics and track the business impact over time.
  5. Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future.

Skills

Required

  • PhD with >10+ years of relevant experience / 4-year bachelor’s degree with > 14+ years of experience / Master’s degree with > 12 years of experience.
  • Statistical modeling techniques (deep neural networks, Bayesian models)
  • Optimization methods
  • Machine learning techniques
  • Scalable model development
  • Collaboration with business and engineering
  • Model goodness metrics definition and tracking
  • Communication of complex analysis to business partners

Nice to have

  • Recommender Systems experience
  • Deep learning as applied in computer vision
  • Experience with LLMs
  • Ecommerce domain

What the JD emphasized

  • Peer review and publish work in top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT

Other signals

  • Leveraging latest research in generative AI, machine learning (ML), statistics, deep learning, computer vision and optimization
  • Develop efficient and scalable models at Walmart scale
  • Define and/or own the model goodness metrics and track the business impact over time
  • Peer review and publish work in top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT