13 Aug
|
Walmart Global Tech India
|
Bengaluru
13 Aug
Walmart Global Tech India
Bengaluru
About Team
Walmart’s Corporate Tech and Services is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart.
As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a recent supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is Corporate Tech. Joining this team means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart.
What You Will Do:
• Develop data science solutions to detect duplicate payments, invoice discrepancies, purchase order mismatches, pricing or quantity variances, supplier anomalies, and other post-payment recovery opportunities.
• Build anomaly detection, classification,
matching, prioritization, forecasting, and optimization models that support payment integrity and audit workflows.
• Design and maintain scalable data pipelines, feature engineering workflows, and reusable analytics datasets using Python, SQL, PySpark, DBT, and cloud data platforms.
• Build GenAI and agentic automation solutions that help audit teams summarize evidence, triage exceptions, generate investigation context, and reduce repetitive manual review.
• Apply prompt engineering, retrieval augmented generation, embeddings, and vector database patterns to make audit knowledge, policy context, invoice evidence, and historical case information easier to search and use.
• Use agents to support data labeling, data augmentation, weak supervision, and training data preparation for ML models, especially where audit outcomes and exception patterns are sparse, noisy, or inconsistently labeled.
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📌 SENIOR, DATA SCIENTIST (Bengaluru)
🏢 Walmart Global Tech India
📍 Bengaluru