Senior, Data Scientist

Walmart · Retail · Sunnyvale, CA

Senior Applied Scientist on the Spark Driver Platform team at Walmart, focusing on enhancing efficiency and profitability through machine learning and data science. The role involves developing and deploying production systems for driver matching, personalization, pricing, and ETA prediction, utilizing deep learning, reinforcement learning, recommendation systems, and causal ML models.

What you'd actually do

  1. Collaborate with stakeholders to ensure that our data science product supports Walmart’s business objectives.
  2. Explore the latest trends in machine learning and optimization techniques to innovate solutions to solve high-impact and complex business problems.
  3. Build data pipelines from multiple sources and extract data insights using data exploration and visualization techniques.
  4. Design, implement, productionize, and deploy end to end machine learning solutions with consideration for optimality and computation complexity.
  5. Design and implement experiments to develop NorthStar metrics, draw unbiased and robust statistical inferences, and establish causality.

Skills

Required

  • Ph.D. or equivalent advanced degree in Computer Science, Statistics, Operation Research, Economics, or related field.
  • Extensive experience in data science, machine learning, statistical analysis, Reinforcement learning, personalization, and ranking experience.
  • Proven track record of building and deploying algorithms/models in production.
  • Expertise in programming languages such as Python, Java, C, or C++.
  • Experience with large-scale data systems (Spark/Hive) and cloud computing (GCP/Azure).
  • Demonstrated ability to drive projects from conception to completion in a fast-paced, dynamic environment.
  • Excellent communication with the ability to influence and inspire cross-functional teams.

What the JD emphasized

  • production systems
  • productionize
  • deploy end to end machine learning solutions
  • Reinforcement learning
  • personalization
  • ranking experience
  • building and deploying algorithms/models in production

Other signals

  • production systems
  • machine learning
  • data science
  • optimization
  • personalization
  • driver matching
  • pricing