Director, Data Science, Earnings Innovation & Automation

Walmart

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Quick summary

Work type
On-site
Location
Bentonville, ARSunnyvale, CABellevue, WAHoboken, NJ
Salary
$130,000–$260,000 / yr
Employment
Full-time
Posted
106 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $233k
This role $195k
$111k $303k
below market most similar roles pay here above market

This role pays less than 74% of similar roles. Most pay $195,000–$270,025 — the blue band above. At the midpoint, this role pays about $195k versus about $233k for comparable roles.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 825 open roles on FindRole.

Listed pay typically runs $121,000–$242,000 across 473 roles with salary data.

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At a glance

TL;DR · Director, Data Science, Earnings Innovation & Automation

Role Posting Log in to save

As Director, Data Science - Earnings Innovation & Automation, you will join the Independent Contractor Earnings Team to lead the transformation of earnings through advanced data science, automation, and innovation. You will define and lead the AI/ML strategy for contractor earnings, tax, and compliance, identifying high-impact use cases like anomaly detection and risk monitoring. Your daily responsibilities include building and leading a high-performing data science tiger team to prototype and scale solutions. You will develop intelligent automation using ML and GenAI to improve accuracy and reduce manual effort. Required technical skills include Python, SQL, and modern ML frameworks such as TensorFlow and PyTorch. You will solve complex problems regarding the seamless calculation, disbursement, and reporting of independent contractor earnings and tax processes worldwide while ensuring model transparency and regulatory compliance.

Skills

Python SQL TensorFlow PyTorch Spark Scala R GenAI LLMs scikit learn Machine Learning Data Science Anomaly Detection Model Governance WCAG) 2.2 AA

What you'll do

  • Define and lead the AI/ML strategy for contractor earnings, tax, and compliance.
  • Build and lead a high-performing data science tiger team to prototype and scale innovative solutions.
  • Develop intelligent automation and insights using ML and GenAI to reduce manual effort.
  • Embed compliance and governance into AI solutions to ensure models are transparent and auditable.
  • Scale data science solutions into production in collaboration with Product, Engineering, and Operations teams.
  • Identify high-impact use cases for anomaly detection, tax classification, and risk monitoring.
  • Deliver measurable ROI by improving accuracy and increasing operational efficiency across the business.

What we're looking for

  • Must have 10–12+ years of experience in data science, ML, or AI.
  • Must have 3–5+ years of experience leading high-performing teams.
  • Must have a track record of building and scaling production-grade ML/AI solutions in complex environments.
  • Must have deep technical expertise in Python, SQL, and modern ML frameworks like TensorFlow or PyTorch.
  • Must have hands-on experience with GenAI/LLMs applied to real-world business problems.
  • Must have a strong understanding of model governance, explainability, and risk management.
  • Must meet one of three education/experience paths: Bachelor's with 6 years analytics experience, Master's with 4 years, or 8 years total experience.
  • Experience in fintech, payments, tax, or compliance-heavy domains (preferred).

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