The Job

Director, Data Science - Earnings Innovation & Automation

Technology, Data & Digital · Data Science · Machine Learning · Artificial Intelligence

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In short

Lead the transformation of earnings through advanced data science, automation, and innovation. You will 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.

Responsibilities

  • 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.
  • Build and lead a high-performing data science “tiger team” to rapidly prototype, test, and scale innovative solutions across earnings and compliance domains.
  • Develop intelligent automation and insights using ML and GenAI to improve accuracy, reduce manual effort, and enhance contractor and stakeholder experience.
  • 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.
  • Scale solutions into production by collaborating with Product, Engineering, and Operations to deliver measurable impact (e.g., reduced errors, lower risk, increased efficiency).

Requirements

  • 10–12+ years of experience in data science, ML, or AI, with 3–5+ years leading high-performing teams.
  • Strong track record of building and scaling production-grade ML/AI solutions in complex environments.
  • Deep technical expertise in Python, SQL, and modern ML frameworks (e.g., TensorFlow, PyTorch).
  • Experience in fintech, payments, tax, or compliance-heavy domains (preferred).
  • Hands-on experience with GenAI/LLMs and applying them to real-world business problems.
  • Strong understanding of model governance, explainability, and risk management.
  • Ability to operate in ambiguity, influence cross-functional stakeholders, and drive outcomes at scale.

Desired Qualifications

  • Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
  • Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
  • 8 years' experience in an analytics or related field
  • Data science, machine learning, optimization models
  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
  • Successful completion of one or more assessments in Python, Spark, Scala, or R
  • Supervisory experience
  • Using open source frameworks (for example, scikit learn, tensorflow, torch)
  • Knowledge in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
  • Knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Benefits

  • Competitive pay
  • Performance-based bonus awards
  • Medical, vision and dental coverage
  • 401(k)
  • Stock purchase
  • Company-paid life insurance
  • PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting
  • Short-term and long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption and surrogacy expense reimbursement
  • PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
  • Walmart-paid education benefit program (Live Better U) for full-time and part-time associates
#Data Science#Innovation#Automation#Machine Learning#AI#Fintech#Compliance
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Company

Walmart

Job Posted

3 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Executive

Locations

Bentonville, United States

Sunnyvale, United States

Hoboken, United States

Bellevue, United States

Qualification

Bachelor, Master

Applicants

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