Staff, Data Scientist

Walmart Walmart · Retail · Bangalore, KA, India

Staff Data Scientist at Walmart focused on applying and developing statistical modeling, deep neural networks, Bayesian models, optimization, and other ML techniques. The role involves developing scalable models, defining model goodness metrics, tracking business impact, and collaborating with business and engineering teams to solve problems. The position also emphasizes mentoring, staying updated with ML research, and potentially publishing work.

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 >5 years of relevant experience / 4-year bachelor’s degree with > 10 years of experience / Master’s degree with > 8 years of experience in Computer Science or a strongly quantitative discipline
  • Statistical modeling techniques (deep neural networks, Bayesian models)
  • Optimization methods
  • Machine Learning techniques
  • Developing scalable models
  • Model goodness metrics definition and tracking
  • Business impact analysis
  • Collaboration with business, engineering, and science teams
  • Presenting complex analysis to business partners
  • Mentoring peers and junior members
  • Staying up-to-date with ML research and best practices
  • Integrating data science solutions into business processes
  • Developing process standards and best practices in ML for retail

Nice to have

  • Recommender Systems experience
  • Deep learning as applied in computer vision
  • Experience with LLMs
  • Ecommerce domain
  • Peer review and publication in top tier ML/AI conferences (NIPS, ICML, AAAI, COLT)
  • Speaking at external forums (research conferences, technical summits)
  • Engaging with universities, institutes, and vendor partners for innovation

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
  • staying up to date with and extending the state-of-the-art in Machine Learning Research
  • Peer review and publish work in top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT

Other signals

  • develop efficient and scalable models at Walmart scale
  • define and/or own the model goodness metrics and track the business impact over time
  • apply and/or develop statistical modelling techniques (such as deep neural networks and Bayesian models), optimization methods and other ML techniques