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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Wal-Mart Stores, Inc. - **Location:** San Leandro, CA, United States - **Experience:** Expert - **Salary:** $117,000.0 - $234,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, A/B Testing, Web Accessibility, Data Analysis, Application Frameworks, Apache Hive, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Scala (Programming Language), SQL Databases, Unstructured Data, Web Content Accessibility Guidelines, Reinforcement Learning, Feature Store, Pytorch, Large Language Models, SHAP (Shapley Additive Explanations), Apache Spark, Deep Learning, Model Validation, Pyspark, Scikit Learn, Information Technology, Xgboost, Data Management, Machine Learning Operations, RoBERTa, Data Pipelines - **Published:** October 4, 2026 - **Apply:** https://www.themuse.com/jobs/walmart/senior-data-scientist-e03cff ## About the Role * Have a MS/PhD in relevant technical degree (preferably Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, Engineering etc.) with 2-4 years of relevant work experience. * Proven experience developing and deploying ML models at scale in a production environment, especially for recommendation systems, ranking, or NLP tasks. * Proficiency in Python, SQL, and PySpark. Strong familiarity with ML libraries such as TensorFlow, PyTorch, Scikit-Learn, XGBoost. * Strong knowledge of ML evaluation and diagnostic techniques (A/B testing, ROC-AUC, Precision@K, RMSE, etc.). * Experience with foundation models and LLMs * Background in reinforcement learning or agent-based personalization frameworks. * Experience working with big data tools (Hive, Spark) and modern MLOps practices., Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, Master's degree 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, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background 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. The ideal candidate would have 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. ## Description Walmart Global Tech is seeking a highly skilled and experienced Senior Data Scientist to join our Personalization and Recommendation team. This role will be instrumental in driving forward Walmart's personalization capabilities across multiple touchpoints - from product recommendations and layout optimization to GenAI-powered customer understanding. The ideal candidate combines deep ML expertise with large-scale production experience and thrives in fast-paced, impact-driven environments. As part of our team, you'll join a fast-paced and collaborative environment that blends research with real-world impact. You'll work closely with world-class engineers, product managers, and fellow scientists to push the boundaries of what personalization means in modern retail - crafting solutions that are fair, relevant, and truly customer-centric at a global scale. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do: * Design, develop, and productionalize machine learning models for personalized recommendations, layout optimization, and content generation (visual and textual) using structured and unstructured data. * Lead the development of large-scale ML models leveraging deep learning (Transformers, multi-modal, LLMs), reinforcement learning, and personalization frameworks (e.g., agentic systems). * Collaborate cross-functionally with engineering, product, and design teams to integrate ML systems into customer-facing applications. * Build scalable data pipelines and feature stores with data engineers for real-time and batch personalization use cases. * Employ and experiment with pre-trained foundation models (e.g., BERT, RoBERTa, T5, CLIP) for customer representation and product understanding. * Apply best-in-class practices in model validation, monitoring, explainability (e.g., SHAP, counterfactuals), and lifecycle management. * Contribute to research and innovation in personalization by exploring novel architectures and publishing internally or externally where applicable. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Shoot for the moon - machine learning for automated online ad detection](https://www.wearedevelopers.com/videos/502-shoot-for-the-moon-machine-learning-for-automated-online-ad-detection) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [The pitfalls of Deep Learning - When Neural Networks are not the solution](https://www.wearedevelopers.com/videos/14-the-pitfalls-of-deep-learning-when-neural-networks-are-not-the-solution) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany)