(USA) Staff, Data Scientist

Position Summary...

What you'll do...

About Walmart

With yearly revenue of $600B+, Walmart employs approximately 2.2 million associates worldwide. We innovate to deliver a simple and seamless experience for our customers. Our tech talent solves the biggest and most complex problems. They drive digital transformation where data and analytics are enabling us to better serve our customers and create a digital relationship with them. As our customers evolve and adapt, we are taking it a few notches further here. We’re changing what customers can expect from the experience of shopping, from physical stores, to mobile, social and even online forums; we’re not just ready for the future of shopping, we’re creating it.

Walmart Labs is the cutting-edge technology arm of Walmart that helps to operate our stores across the world. If you’re thinking ‘scale’, think bigger and don’t stop there. At Walmart Labs, we don’t just innovate, we enable transformations across stores and different channels for the Walmart experience. Take a regular day at Walmart Labs and match that with 265 million customers transactions a week, 11,500 stores under 56 banners in 27 countries, and eCommerce websites in 10 countries. That’s Walmart Labs for you.

Team and Position Summary

Walmart Marketplace

Walmart Marketplace is a key part of e-commerce at Walmart. It is a gateway for Third-Party Sellers to manage their operations, such as onboarding, catalogs, order fulfillment, global opportunities, and return & refund management. We are responsible for providing the best in-class marketplace experience for our sellers and customers through the design, development, and operations of highly scalable systems. We interact with multiple teams within the company to develop scalable, robust technical solutions. The data scientist role will be part of the data science team and will play a key role working along with others within the Marketplace engineering organization, product managers and business stakeholders to build Machine Learning products.

More about Marketplace: https://marketplace.walmart.com/

Position Responsibilities

As a Staff Data Scientist for Walmart, you’ll have the opportunity to

• Research and implement state-of-the-art machine learning techniques, including deep learning, reinforcement learning, and NLP.
• Hands on experience building Gen AI products like Q&A assistants, Text to SQL analytics or LLM reasoning
• Collaborate cross-functionally with stakeholders to align AI solutions with Walmart’s business objectives.
• Design and optimize ML pipelines, ensuring scalability, efficiency, and real-time processing capabilities.
• Build and deploy end-to-end models, balancing accuracy, computational efficiency, and business impact.
• Explore and integrate the latest AI advancements, ensuring Walmart remains a leader in AI-driven delivery solutions.

Position Requirements

• Very good knowledge of the foundations of machine learning and statistics
• Experience in machine learning, supervised and unsupervised and deep learning.
• Experience in analyzing the complex problems and translate it into data science algorithms
• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data                                                                                                                             
• Strong Experience in Python with excellent knowledge of Data Structures
• Strong Experience with big data platforms – Hadoop (Hive, Map Reduce, Scala, Spark) 
• Hands on experience with Git
• Experience with SQL and relational databases, data warehouse

Qualifications

• Ph.D. or equivalent advanced degree in Computer Science, Statistics, Operations Research, Economics, or a related field.
• Extensive experience in machine learning, reinforcement learning, GenAI, LLMs, and NLP.
• 5+ Years of experience of deploying ML models in production, preferably in high-scale environments.
• Strong programming skills in Python, Java, C, or C++.
• Experience with large-scale data systems (Spark/Hive) and cloud computing (GCP/Azur