Senior, Data Scientist

Walmart · Retail · Sunnyvale, CA

Senior Applied Scientist role on the Spark Driver Platform's Applied AI team, focusing on enhancing efficiency and profitability through machine learning, data science, and economics. The role involves building scalable production systems for driver search, matching, pricing, and support automation, utilizing deep learning, reinforcement learning, recommendation systems, and causal ML models. Responsibilities include collaborating with business and engineering teams, deploying end-to-end models, and optimizing ML pipelines.

What you'd actually do

  1. Collaborate with business, product, and software engineers to scale models into production systems.
  2. Explore the latest trends in machine learning and optimization techniques to innovate solutions to solve high-impact and complex business problems.
  3. Work with large-scale datasets, including GPS tracking, order details, and traffic patterns.
  4. Deploy and scale end-to-end models, balancing accuracy and computational efficiency.
  5. Design and optimize ML pipelines, ensuring scalability, efficiency, and reliability.

Skills

Required

  • Python
  • TensorFlow
  • PyTorch
  • GCP
  • Azure
  • Spark
  • Kafka
  • SQL
  • MLOps practices
  • CI/CD for ML pipelines
  • model monitoring

Nice to have

  • forecasting
  • deep learning
  • Reinforcement learning
  • cloud platforms
  • big data technologies

What the JD emphasized

  • extensive experience in forecasting, machine learning, deep learning and Reinforcement learning
  • Proven track record of deploying ML models in production
  • Ph.D. or equivalent advanced degree in Computer Science, Statistics, Operations Research, Economics, or a related field

Other signals

  • Spark Driver Platform
  • Applied AI team
  • production systems
  • large-scale, real-time data pipelines
  • deploy ML solutions