(usa) Staff, Data Scientist

Walmart Walmart · Retail · Bentonville, AR +1

The role involves applying machine learning algorithms to enhance e-commerce search relevance and minimize risks. Responsibilities include building, validating, testing, and deploying predictive models using ML techniques, identifying and preparing data for modeling, and performing developments in NLP, computer vision, information retrieval, entity recognition, product classification, and recommendation systems. The goal is to understand customer preferences and enable better purchase decisions through ML-driven engagement and conversation.

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

  • 3+ years of work and research experience in the machine learning field
  • deep understanding of machine learning
  • experience with data cleaning, preparation, featurization, and selection techniques
  • experience working with large data sets
  • hands-on experience with Python, Java, or Scala
  • ability to write reusable and efficient code
  • effective communication, interpersonal, and teamwork skills
  • ability to handle multiple concurrent projects
  • 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

  • end-end responsibility
  • machine learning
  • predictive models
  • machine learning techniques
  • predictive modeling
  • algorithm development
  • machine learning techniques
  • natural language processing
  • computer vision
  • information retrieval
  • entity recognition
  • product classification
  • recommendation system
  • machine learning
  • deep learning library
  • TensorFlow
  • PyTorch
  • Spark
  • Hadoop
  • Python
  • Java
  • Scala
  • machine learning pipelines
  • data processes

Other signals

  • applying machine learning algorithms to maximize the relevance of search system
  • building, validating, testing, and deploying predictive models
  • develop and deploy machine learned models