(usa) Principal, Data Scientist

Walmart Walmart · Retail · Sunnyvale, CA

Principal Data Scientist to lead development and deployment of advanced analytical models and machine learning solutions. Focus on coding, statistical analysis, and data visualization to translate business requirements into data-driven strategies. Mentoring, cross-functional collaboration, and ensuring scalable, high-quality solutions. Apply rigorous testing, validation, and continuous improvement. Team specializes in data governance and preparing data for AI applications using cloud-native platforms and model-driven design, managing full SDLC with focus on high availability and reliability.

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, data-driven strategies aligned with organizational goals.
  3. Identify and validate appropriate data sources, ensuring data quality and relevance for modeling efforts.
  4. Lead the creation and evaluation of analytical models, applying machine learning and statistical techniques to generate actionable insights.
  5. Collaborate with stakeholders to translate business requirements into scalable data science initiatives.

Skills

Required

  • Python
  • SQL
  • Java
  • machine learning algorithms
  • deep learning
  • advanced statistical analysis techniques
  • data source identification
  • data quality assessment
  • data strategy implementation
  • deploying, monitoring, and scaling machine learning models in production environments
  • data visualization tools and techniques

Nice to have

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

What the JD emphasized

  • deploy advanced analytical models
  • machine learning solutions
  • deploying, monitoring, and scaling machine learning models in production environments

Other signals

  • deploy advanced analytical models
  • machine learning solutions
  • deploying, monitoring, and scaling machine learning models in production environments