Distinguished, Data Scientist

Walmart Walmart · Retail · Bellevue, WA

Distinguished Data Scientist role focused on developing and deploying cutting-edge AI solutions within Walmart's Customer Care Technology team. The role involves shaping AI strategies, leading data scientists, and hands-on coding (80%) to build and optimize scalable AI/ML models and systems, with a strong emphasis on generative AI technologies.

What you'd actually do

  1. Develop technical vision, long-term strategy and set direction for the team and the organization
  2. Drive execution of developing models and systems
  3. Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
  4. Remain up to date on ongoing research and development activities in the team, help work through technical challenges, and be involved in design decisions
  5. Guide and lead the organization data scientists to design, architect, and build AI/ML model and model systems.
  6. Collaborate with cross-functional teams and machine learning engineers to deploy, operate, and optimize scalable solutions

Skills

Required

  • Python
  • Huggingface
  • VectorDB
  • Tensorflow
  • Pytorch
  • ElasticSearch
  • Azure

Nice to have

  • c

What the JD emphasized

  • 10+ years of experience in AI Research
  • 15+ years of experience with full ML development lifecycle.
  • Experience building machine learning models through all phases of development, from design through training, evaluation, validation, and implementation & monitoring.
  • Experience with delivering very large models through the MLOps life cycle
  • Authored research publications in top peer-reviewed conferences (NeurIPS/ICML/ICLR/AAAI), or industry-recognized contributions.

Other signals

  • Develop technical vision, long-term strategy and set direction for the team and the organization
  • Drive execution of developing models and systems
  • Guide and lead the organization data scientists to design, architect, and build AI/ML model and model systems.
  • Collaborate with cross-functional teams and machine learning engineers to deploy, operate, and optimize scalable solutions