(usa) Senior, Data Scientist

Walmart Walmart · Retail · Sunnyvale, CA

Senior Data Scientist role focused on Walmart Search's data science and measurement strategy, driving business growth through advanced analytics and machine learning for ranking, relevance, and monetization. The role involves developing and deploying data-driven solutions, building an analytics platform, and executing large-scale experimentation to enhance customer experience and business outcomes.

What you'd actually do

  1. Identify and source relevant data from multiple business domains and databases to support analytical initiatives.
  2. Perform data quality assessments and ensure data integrity for accurate model development.
  3. Develop, test, and deploy advanced analytical models using programming languages such as Python and SQL.
  4. Evaluate model performance through rigorous validation techniques and optimize for scalability and sustainability.
  5. Create clear and insightful data visualizations to communicate findings effectively to stakeholders.

Skills

Required

  • Python programming
  • SQL
  • data visualization tools
  • data sourcing
  • model development
  • model validation
  • scalable deployment
  • advanced analytical techniques
  • machine learning
  • statistical methods
  • data quality assessment
  • data governance principles

Nice to have

  • Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
  • Using open source frameworks (for example, scikit learn, tensorflow, torch)

What the JD emphasized

  • advanced analytical models
  • scalable deployment
  • advanced analytics and machine learning
  • advanced analytical modeling techniques
  • scalable analytical models

Other signals

  • develop and deploy data-driven solutions
  • enhance business outcomes
  • model development, validation, and scalable deployment
  • translate complex business challenges into actionable insights
  • drive business growth
  • ranking, relevance, and monetization
  • advanced self-serve analytics platform
  • large-scale experimentation programs
  • customer experience and business outcomes