Group Director, Data Science-1

Walmart · Retail · Crossman Respect Building CA SUNNYVALE, Hula Building Bentonville, AR

Lead a team of data scientists and engineers focused on pricing optimization for Walmart's global retail platforms. Develop and execute strategies for price point and markdown optimization using agentic AI, machine learning, and mathematical optimization. Oversee the full data science lifecycle from scoping to deployment and impact measurement, driving AI innovation in pricing.

What you'd actually do

  1. Lead and grow a team of data scientists and data engineers dedicated to pricing optimization.
  2. Define the vision and strategy for pricing optimization, including dynamic price points and markdown strategies, across both physical and digital channels.
  3. Partner with product, engineering, merchandising, and business stakeholders to identify pricing opportunities and align on strategic initiatives.
  4. Oversee the end-to-end data science lifecycle: problem scoping, literature review, model design, algorithmic optimization, engineering integration, deployment, monitoring, and impact measurement.
  5. Drive AI innovation in pricing, including experimentation with new models and algorithms to improve pricing accuracy and efficiency.

Skills

Required

  • Master’s or PhD in Computer Science, Engineering Systems, Economics, Statistics, Mathematics, or related field
  • At least 10 years of experience in leading data science, machine learning, or analytics roles, 4 years in technical leadership and people management.
  • Proven experience developing and deploying data science solutions for pricing optimization, price point decisions, and markdown strategies in a retail or e-commerce environment.
  • Hands-on expertise in the full data science lifecycle, especially in pricing and revenue management.
  • Experience with large-scale data platforms and cloud technologies (GCP, Azure, AWS), including data lake architecture.
  • Strong programming skills (Python, R, or similar) and proficiency with data engineering and ML tools.
  • Excellent communication, collaboration, and stakeholder management skills.
  • Experience in business development, roadmap ownership, and driving measurable impact through data science.

Nice to have

  • Experience in retail pricing for large-scale enterprises
  • Familiarity with advanced pricing models, demand forecasting, elasticity modeling, and real-time pricing algorithms
  • Experience managing cross-functional and geographically distributed teams.
  • Publications or patents in pricing optimization or related AI/ML fields

What the JD emphasized

  • pricing optimization
  • dynamic price points
  • markdown strategies
  • agentic AI
  • mathematical optimization
  • machine learning algorithms

Other signals

  • pricing optimization
  • dynamic price points
  • markdown strategies
  • agentic AI
  • mathematical optimization
  • machine learning algorithms