(usa) Staff, Data Scientist

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

Staff Data Scientist role at Walmart focused on developing and deploying advanced Search and Personalization solutions using ML, DL, and GenAI. The role involves data sourcing, model development, validation, deployment, and monitoring, with a focus on scalability and performance to enhance customer shopping experience.

What you'd actually do

  1. Develop, validate, and tune predictive models using advanced machine learning and statistical techniques.
  2. Deploy and monitor models in production, ensuring scalability and performance.
  3. Identify and source relevant data from multiple business domains and databases to support analytics initiatives.
  4. Collaborate with cross-functional teams to translate business problems into data-driven solutions.
  5. Mentor team members on analytical methods, coding best practices, and data storytelling.

Skills

Required

  • Proficiency in predictive analytics, machine learning algorithms, and advanced statistical modeling techniques.
  • Strong programming skills in Python
  • Experience with data visualization tools such as Matplotlib, Plotly, or Tableau.
  • Expertise in data strategy, including data quality standards, governance, and scalable data storage solutions.
  • Ability to assess, validate, and tune models using appropriate evaluation metrics and best practices.
  • Experience deploying and monitoring machine learning models in production environments.
  • Knowledge of natural language processing, deep learning, and MLOps frameworks.
  • Capability to translate complex business problems into data-driven solutions with clear communication to stakeholders.
  • Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
  • OR Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
  • OR 6 years' experience in an analytics or related field

Nice to have

  • Data science, machine learning, optimization models
  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
  • Using open source frameworks (for example, scikit learn, tensorflow, torch)
  • Implementing Web Content Accessibility Guidelines

What the JD emphasized

  • advanced analytics and machine learning techniques
  • predictive models
  • actionable insights
  • data-driven solutions
  • model accuracy, scalability, and effective communication
  • data strategy, visualization, and coding is essential
  • Applied AI team develops advanced Search and Personalization solutions
  • machine learning, deep learning, and generative AI technologies
  • scalable systems
  • technical excellence
  • continuous improvement
  • customer-centric innovation
  • predictive analytics, machine learning algorithms, and advanced statistical modeling techniques
  • programming skills in Python
  • data visualization tools
  • data strategy
  • data quality standards, governance, and scalable data storage solutions
  • assess, validate, and tune models
  • deploying and monitoring machine learning models in production environments
  • natural language processing, deep learning, and MLOps frameworks
  • translate complex business problems into data-driven solutions

Other signals

  • develops advanced Search and Personalization solutions
  • Utilizing machine learning, deep learning, and generative AI technologies
  • builds scalable systems that help customers find products efficiently
  • Deploy and monitor models in production, ensuring scalability and performance