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Walmart

Staff, Data Scientist - Customer Data & Identity

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  • US
    United States
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  • US
    United States

About

Staff, Data Scientist - Customer Data & IdentityJoin to apply for the Staff, Data Scientist - Customer Data & Identity role at Walmart.This position offers a base pay range of $143,000 to $286,000 per year. The role involves developing machine learning models, working with large datasets, and applying AI techniques such as LLMs to enhance customer segmentation.Responsibilities include:Developing generative AI applications, multi-agent workflows, and machine learning algorithms based on business needs.Gathering and assessing data validity, synthesizing data into analytics datasets.Using big data analytics to identify trends and patterns.Building and training statistical models and scalable algorithms.Qualifications:Experience with Large Language Models (LLMs).5-7 years of hands-on experience as a data scientist.Strong understanding of various machine learning models.Familiarity with Deep Learning frameworks like TensorFlow and PyTorch.Experience with cloud platforms such as GCP, AWS, and Azure.Proficiency in Java and Python.Additional details:This role is part of Walmart's Data Science Center of Excellence, focusing on customer data initiatives and AI-driven insights. Benefits include competitive pay, bonuses, health coverage, 401(k), stock options, paid time off, and educational programs like Live Better U.The position is located in San Bruno, CA, with a salary range of $143,000 to $286,000 annually, and additional compensation through performance bonuses and stock options.Minimum qualifications:Bachelor's degree with 4 years' experience, or Master's degree with 2 years' experience, or 6 years' experience in analytics or related fields.Preferred qualifications:Experience in data science, machine learning, optimization, PhD preferred, and familiarity with accessibility standards is a plus. #J-18808-Ljbffr

Nice-to-have skills

  • Machine Learning
  • Deep Learning
  • TensorFlow
  • PyTorch
  • GCP
  • AWS
  • Azure
  • Java
  • Python
  • United States

Work experience

  • Fullstack
  • Machine Learning
  • Data Scientist

Languages

  • English