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Director, Data Science - Earnings Innovation & Automation
WalmartBentonville, United Statesfull_timeVerifiedPosted 15 Apr 2026
💰 $312,000/yr($130,000/yr – $312,000/yr)
About the role
Position Summary...
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.About the Independent Contractor (Spark Driver) Earnings Team:
Our team is responsible for the seamless calculation, disbursement, and reporting of independent contractor earnings & tax processes worldwide. We operate with a focus on compliance, data integrity, and continuous improvement, directly impacting both company performance and the experience of our global contractor network. This role is pivotal in setting best practices and driving operational rigor across the organization.
What you'll do...
- 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).
What you’ll bring...
- 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.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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