(usa) Principal, Data Scientist

Walmart Walmart · Retail · SUNNYVALE TECH CORNERS BLDG 6 CA SUNNYVALE

Principal Data Scientist to lead the development and deployment of advanced analytical models and machine learning solutions for Walmart's Applied AI Search & Personalization team. Focus on large-scale systems including query understanding, retrieval, ranking, recommendations, personalization, and Generative AI, aiming to enhance product discovery and deliver tailored shopping experiences.

What you'd actually do

  1. Develop, test, and deploy advanced data science solutions using programming languages such as Python and SQL.
  2. Analyze complex business problems to design effective technology-driven models and strategies.
  3. Identify and validate appropriate data sources, ensuring data quality and relevance for modeling.
  4. Lead the creation and evaluation of machine learning and statistical models to generate actionable insights.
  5. Collaborate with stakeholders to translate business requirements into data-driven initiatives aligned with organizational goals.

Skills

Required

  • Python
  • SQL
  • machine learning
  • deep learning
  • generative AI
  • advanced statistical analysis
  • data source identification
  • data quality assessment
  • data strategy
  • Bayesian inference
  • neural networks
  • hypothesis testing
  • data visualization
  • storytelling
  • mentoring teams
  • project execution

Nice to have

  • Java
  • Spark
  • Scala
  • R
  • scikit learn
  • tensorflow
  • Publications or active peer reviewer in related journals or conference
  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics

What the JD emphasized

  • Extensive experience in machine learning, deep learning, generative AI
  • advanced statistical analysis
  • scalable data science solutions
  • Proficiency in programming languages including Python, SQL, and Java
  • strong coding and testing capabilities
  • Expertise in data source identification, data quality assessment, and data strategy
  • design and validate analytical models
  • Bayesian inference, neural networks, and hypothesis testing
  • data visualization tools and storytelling
  • Proven leadership in mentoring teams, driving project execution, and fostering continuous improvement

Other signals

  • develop and deploy advanced analytical models and machine learning solutions
  • Applied AI Search & Personalization team develops advanced machine learning solutions
  • query understanding, retrieval, ranking, recommendations, personalization, and Generative AI
  • design and deploy scalable models