Director, Data Science - Earnings Innovation & Automation

Walmart

Bentonville, AR, United States
Bentonville, ar: $130,000.00 - $260,000.00; hoboke...
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Define and lead ai/ml strategy
Build and lead data science teams
Develop intelligent automation and insights
** Walmart is seeking a Director of Data Science for its Earnings Innovation & Automation team, tasked with leading AI and machine learning initiatives to enhance contractor earnings and compliance processes. The ideal candidate will have extensive experience in data science and team leadership, with a focus on developing scalable, production-grade solutions. **

Job Summary

  • Lead the transformation of earnings through advanced data science, automation, and innovation.
  • Build and lead a high-performing data science “tiger team” to rapidly prototype, test, and scale innovative solutions.
  • Develop intelligent automation and insights using ML and GenAI to improve accuracy, reduce manual effort, and enhance contractor and stakeholder experience.

Matching Summary

Match Score: 75

** Walmart is seeking a Director of Data Science for its Earnings Innovation & Automation team, tasked with leading AI and machine learning initiatives to enhance contractor earnings and compliance processes. The ideal candidate will have extensive experience in data science and team leadership, with a focus on developing scalable, production-grade solutions. **

Salary

Bentonville, AR: $130,000.00 - $260,000.00; Hoboken, NJ: $156,000.00 - $312,000.00; Bonus/Equity: Annual or quarterly performance bonuses, Stock

Skills & Requirements

Must-have

  • Define and lead AI/ML strategy
  • Build and lead data science teams
  • Develop intelligent automation and insights
  • Embed compliance and governance into AI
  • Scale solutions into production
  • Production-grade ML/AI solutions
  • GenAI/LLMs application
  • Model governance, explainability, risk management

Nice-to-have

  • Fintech, payments, tax, or compliance domains
  • Creating inclusive digital experiences
  • Web Content Accessibility Guidelines (WCAG) 2.2 AA standards

Key Requirements

  • 10-12+ years of experience in data science, ML, or AI
  • 3-5+ years leading high-performing teams
  • Deep technical expertise in Python, SQL, and modern ML frameworks
  • Bachelors degree in related field and 6 years' experience
  • Masters degree in related field and 4 years' experience
  • 8 years' experience in an analytics or related field

Work Rights

Not specified

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