(usa) Staff, Data Scientist

Walmart Walmart · Retail · SUNNYVALE TECH CORNERS CA SUNNYVALE

Staff Data Scientist to leverage advanced analytics and machine learning techniques to solve complex business challenges. This role involves identifying and sourcing relevant data, developing predictive models, and delivering actionable insights that drive strategic decisions. The successful candidate will collaborate across functions to translate business needs into data-driven solutions, ensuring model accuracy and scalability. Expertise in data visualization and communication is essential to effectively present findings to stakeholders. This position supports Walmart’s commitment to innovation and operational excellence through data science.

What you'd actually do

  1. Identify and source relevant data from multiple business domains and databases to support analytics initiatives.
  2. Perform data quality assessments and ensure data suitability for modeling and analysis.
  3. Develop, validate, and tune predictive models using advanced statistical and machine learning techniques.
  4. Create clear and impactful data visualizations to communicate insights to stakeholders.
  5. Translate complex business problems into data-driven solutions aligned with strategic objectives.

Skills

Required

  • Python programming
  • advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI
  • SQL
  • NoSQL systems
  • 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
  • Python
  • Spark
  • Scala
  • R
  • scikit learn
  • tensorflow
  • torch

What the JD emphasized

  • model accuracy and scalability
  • deploy models and monitor performance in production environments
  • scalable data storage solutions
  • model assessment, validation techniques, and deployment in production environments

Other signals

  • Develop, validate, and tune predictive models using advanced statistical and machine learning techniques.
  • Collaborate with cross-functional teams to deploy models and monitor performance in production environments.