Director, Data Science - Earnings Innovation & Automation

Walmart Walmart · Retail · Bentonville, AR +1

Lead the transformation of earnings through advanced data science, automation, and innovation. As Director, you’ll drive high-impact analytical solutions, shape data strategy, and scale machine learning capabilities across the business. This role offers a unique opportunity to influence enterprise decisions, deliver measurable ROI, and build cutting-edge data products that power the future of retail.

What you'd actually do

  1. Define and lead AI/ML strategy for contractor earnings, tax, and compliance, identifying high-impact use cases such as anomaly detection, tax classification, and risk monitoring.
  2. Build and lead a high-performing data science “tiger team” to rapidly prototype, test, and scale innovative solutions across earnings and compliance domains.
  3. Develop intelligent automation and insights using ML and GenAI to improve accuracy, reduce manual effort, and enhance contractor and stakeholder experience.
  4. Embed compliance and governance into AI solutions by ensuring models are transparent, auditable, and aligned with regulatory requirements in partnership with Compliance and Governance leaders.
  5. Scale solutions into production by collaborating with Product, Engineering, and Operations to deliver measurable impact (e.g., reduced errors, lower risk, increased efficiency).

Skills

Required

  • Python
  • SQL
  • TensorFlow
  • PyTorch

Nice to have

  • fintech, payments, tax, or compliance-heavy domains
  • GenAI/LLMs
  • model governance, explainability, and risk management

What the JD emphasized

  • production-grade ML/AI solutions
  • fintech, payments, tax, or compliance-heavy domains
  • GenAI/LLMs
  • model governance, explainability, and risk management
  • regulatory requirements

Other signals

  • Define and lead AI/ML strategy
  • Build and lead a high-performing data science “tiger team”
  • Develop intelligent automation and insights using ML and GenAI
  • Embed compliance and governance into AI solutions
  • Scale solutions into production