Staff, Data Scientist

Walmart · Retail · Sunnyvale, CA +1

Staff Data Scientist role at Walmart focused on applying machine learning to enhance e-commerce search and product discovery. The role involves end-to-end responsibility for analyzing data, building, validating, testing, and deploying predictive models to improve relevance and understand customer preferences across various modalities (voice, text, image). The goal is to help customers make the right purchase decisions, impacting millions of users.

What you'd actually do

  1. Applying machine learning algorithms to maximize the relevance of search system and minimize risks.
  2. Building, validating, testing, and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
  3. Identifying, collecting, and exploring the right data used for predictive modeling and algorithm development.
  4. Performing and leading developments using machine learning techniques in one or more of the key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommendation system.

Skills

Required

  • At least 5 years of work and research experience in the machine learning field with a deep understanding of machine learning and interest in applying it at scale.
  • Experience with data cleaning, preparation, featurization, and selection techniques.
  • Experience working with large data sets to solve problems.
  • Hands-on experience with Python, Java, or Scala and the ability to write reusable and efficient code to automate machine learning pipelines and data processes.
  • Effective communication, interpersonal, and teamwork skills.
  • Ability to handle multiple concurrent projects while working independently and in teams.
  • Can work in a fast-paced and deadline driven environment.
  • Ph.D. or Master’s degree in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics or related fields.

Nice to have

  • Experience with deep learning library like TensorFlow and/or PyTorch
  • Experience with Spark and/or Hadoop

What the JD emphasized

  • machine learning field
  • data cleaning, preparation, featurization, and selection techniques
  • Ph.D. or Master’s degree in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics or related fields

Other signals

  • applying machine learning algorithms to maximize relevance
  • developing and deploying machine learned models
  • improving their accuracy
  • deploying these models to serve customers