> Markdown version of [/jobs/ext/2006980-usa-principal-data-scientist-generalist](https://www.wearedevelopers.com/jobs/ext/2006980-usa-principal-data-scientist-generalist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # (USA) Principal, Data Scientist - Generalist - **Company:** Wal-Mart Stores, Inc. - **Location:** Dallas, TX, United States - **Experience:** Experienced - **Salary:** $110,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Java (Programming Language), Web Accessibility, Agile Methodology, Artificial Intelligence, Data Analysis, Application Frameworks, Artificial Neural Networks, JIRA, Unit Testing, Microsoft Azure, Data Structures, R (Programming Language), Information Retrieval, Python (Programming Language), Machine Learning, Scrum Methodology, Tensorflow, Scala (Programming Language), Software Systems, Web Content Accessibility Guidelines, Google Cloud, Cloud Platform System, Chatbots, Pytorch, Apache Spark, Caffe, Backend, Git, Build Management, Spark Mllib, Scikit Learn, Integration Tests, Information Technology, Machine Learning Operations, Software Version Control, Programming Languages - **Published:** August 9, 2026 - **Apply:** https://www.jofdav.com/jobs/59155816-usa-principal-data-scientist-generalist ## About the Role high-achieving individuals spanning Search, Personalization, and Conversational AI, leading impactful and transformative shifts in our business. The position is based in Dallas, Texas, and you will be reporting to the Architect of Search and Ads. What you'll do: You'll sweep us off our feet if... * You have experience in the development of large-scale production systems, Knowledge of Search, information retrieval and ranking systems. * You have experience building large scale ML systems in public cloud like Azure, Google etc * 3 years+ of experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Deep Neural Networks, Wide and Deep etc * You are skilled in Programming language (Python, Java, R or Scala) and Large-scale training using data structures and algorithms * Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib * You have experience with cloud environments such as Azure, Google Cloud, etc. * Solid MLOps practices including good design documentation, unit testing, integration testing and source code control (git). * You are experienced with agile methodologies using project planning and tracking management tools e.g., JIRA * You're naturally curious on how things work and excited by solving challenges at the scale of a Fortune 1 Retailer., Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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 What you'll do... The Principal Data Scientist in the Data Science team will play a crucial role as an architect, leading AI explorations, research, algorithmic solution creation, and fast prototyping aimed to deliver impactful initiatives within the Sam's Club division of Walmart Inc. The position involves developing the foundational ML/AI models that will drive a tailored and enjoyable member experience across our eCommerce, Scan & Go, and in-club shopping interactions. As the Principal Data Scientist, you will oversee end-to-end implementation of Machine Learning products in the domains of Search and Ads. You will guide a scrum team and collaborate with an accomplished team of Product Managers and Technologists to implement ML/AI solutions at scale. This offers a thrilling chance to integrate retail industry knowledge with machine learning algorithms, upsetting traditional business practices to achieve ambitious growth objectives. In this capacity, you will join a vibrant group of, * Leading a team of Data Scientists and Engineers focused on backend software infrastructure for powering AI/ML solutions * Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes. * Executing full life cycle of projects through project planning, data collection, model prototyping and deployment, with responsibilities encompassing stakeholder management and communication to cross-functional partners. * Building MLOps framework to create, build and deploy data science algorithms continuously test and personalize user experience * Leading a team of Data Scientists and Engineers focused on backend software infrastructure for powering AI/ML solutions * Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes. * Executing full life cycle of projects through project planning, data collection, model prototyping and deployment, with responsibilities encompassing stakeholder management and communication to cross-functional partners. * Building MLOps framework to create, build and deploy data science algorithms continuously test and personalize user experience ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)