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Walmart

Sells groceries and essentials in stores and online

Director: Data Science - Earnings Innovation & Automation

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • The role requires 10–12+ years of experience in data science, machine learning, or artificial intelligence, with 3–5+ years leading high-performing teams.
  • Candidates must have a strong track record of building and scaling production-grade machine learning and artificial intelligence solutions in complex environments.
  • Candidates must have deep technical expertise in Python, SQL, and modern machine learning frameworks such as TensorFlow and PyTorch.
  • Candidates must have hands-on experience with generative artificial intelligence and large language models, applying them to real-world business problems.
  • Candidates must understand model governance, explainability, and risk management.
  • Candidates must meet one of these minimum qualification paths: a bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and six years of analytics-related experience; a master's degree in one of those fields and four years of analytics-related experience; or eight years of experience in an analytics or related field.

Responsibilities

  • Define and lead artificial intelligence and machine learning strategy for contractor earnings, tax, and compliance, identifying high-impact use cases such as anomaly detection, tax classification, and risk monitoring.
  • Build and lead a high-performing data science tiger team to rapidly prototype, test, and scale solutions across earnings and compliance domains.
  • Develop intelligent automation and insights using machine learning and generative artificial intelligence to improve accuracy, reduce manual effort, and enhance contractor and stakeholder experience.
  • Embed compliance and governance into artificial intelligence solutions by ensuring models are transparent, auditable, and aligned with regulatory requirements in partnership with Compliance and Governance leaders.
  • Scale solutions into production by collaborating with Product, Engineering, and Operations to deliver measurable impact, including reduced errors, lower risk, and increased efficiency.
  • Shape data strategy and scale machine learning capabilities across the business.

Desired Qualifications

  • Experience in fintech, payments, tax, or compliance-heavy domains is preferred.
  • Preferred qualifications include data science, machine learning, and optimization models.
  • A PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics is preferred.
  • Successful completion of one or more assessments in Python, Spark, Scala, or R is preferred.
  • Experience using open-source frameworks such as scikit-learn, TensorFlow, or PyTorch is preferred.
  • Knowledge of creating inclusive digital experiences and implementing Web Content Accessibility Guidelines 2.2 AA standards and assistive technologies is desirable.
  • Knowledge of digital accessibility best practices and Walmart accessibility standards and guidelines is desirable.
  • Supervisory experience is preferred.

About the Company

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Walmart

Sells groceries and essentials in stores and online

Walmart sells groceries, household essentials, clothing, and electronics through stores and online marketplaces for consumers around the world. Its everyday low price model combines large purchasing volumes with distribution networks that move goods to stores and customer homes. Shoppers can browse online, collect orders at a nearby store, or request delivery, while third-party merchants use its marketplace and fulfillment services to reach customers. The group earns revenue from merchandise sales, memberships, advertising, and services, and also operates pharmacies, optical centers, and digital payments businesses. Walmart opened its first discount store in 1962 and is headquartered in Bentonville, Arkansas.

Company size
10,001+
Company stage
IPO
Headquarters
Bentonville, AR
Founded
1962

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