Data Scientist III

Walmart Walmart · Retail · Hoboken, NJ

Data Scientist III at Walmart Connect, focusing on applying machine learning models to solve complex business problems, driving measurable results, and providing strategic insights for advertisers. The role involves data analysis, automation, visualization, and cross-functional collaboration, with a focus on retail media and digital advertising ecosystems. Mentorship of junior team members is also a key responsibility.

What you'd actually do

  1. Design and implement advanced machine learning models that solve complex business problems and drive measurable results.
  2. Establish best practices for dashboard development, data automation, and quality assurance
  3. Architect enterprise-wide reporting solutions that scale across multiple business units.
  4. Provide strategic insights and recommendations while managing multiple analytics projects and ensure timely and efficient delivery.
  5. Collaborate with cross-functional teams (internal teams, sales, marketing, product, and data engineering) to align insights solutions with overall business objectives.

Skills

Required

  • SQL
  • Python
  • R
  • Tableau
  • Power BI
  • media mix modeling
  • attribution analysis
  • lift studies
  • applying supervised & unsupervised algorithms
  • hypothesis testing
  • regression analysis
  • Bayesian inference
  • campaign measurement
  • ad inventory optimization
  • audience targeting strategies
  • programmatic buying
  • walled gardens
  • consumer insights
  • Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytical role

Nice to have

  • GenAI based agents

What the JD emphasized

  • advanced machine learning models
  • measurable results
  • strategic insights
  • cross-functional partnerships
  • data automation
  • quality assurance
  • enterprise-wide reporting solutions

Other signals

  • applying machine learning models to solve business problems
  • driving measurable results
  • mentoring junior counterparts
  • strategic insights and recommendations
  • cross-functional partnerships