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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # (USA) Principal, Data Scientist - **Company:** Wal-Mart Stores, Inc. - **Location:** Hoboken, NJ, United States - **Experience:** Expert - **Salary:** $110,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, A/B Testing, Web Accessibility, Artificial Intelligence, Data Analysis, Application Frameworks, Python (Programming Language), Machine Learning, Software Tools, Tensorflow, Scala (Programming Language), Web Content Accessibility Guidelines, Apache Spark, Scikit Learn, Information Technology - **Published:** August 29, 2026 - **Apply:** https://www.jofdav.com/jobs/59456860-usa-principal-data-scientist ## About the Role * Proven ability to turn ambiguous business problems into clear hypotheses, scalable analytical plans, and measurable outcomes. * Strong Python coding skills, with experience building production-quality data science solutions. * Experience deploying, monitoring, and improving models or decision tools in partnership with engineering teams. * Familiarity with emerging agentic AI architectures, systems, and evaluation patterns. * Experience using AI-assisted coding and engineering tools to improve development speed, quality, and iteration. * Ability to mentor others on coding, modeling, visualization, and analytical communication. * Strong business judgment and communication skills to influence product, engineering, and executive stakeholders., 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 Role summary: We are seeking a Principal Data Scientist to solve ambiguous, high-value retail problems through rigorous analytics, ML modeling, experimentation, causal inference, and deployment of scalable solutions. You will work closely with agentic AI teams to build the data science capabilities, measurement frameworks, and causal reasoning skills needed to answer users' business-impact questions. You will shape strategy, define success metrics, validate outcomes, deploy decision-ready models and tools, and translate complex evidence into clear recommendations for product, engineering, and executive partners. About the team: Walmart Data Ventures powers the data and AI platform supporting the world's largest retailer's suppliers. The Walmart Scintilla team transforms extensive data into actionable insights, recommendations, and innovations that enhance customer, merchant, and supplier outcomes. This team leads advancements in generative AI, agentic intelligence, machine learning, measurement, and causal inference to redefine retail experiences, optimize operations, and develop new business models. Joining this team offers the opportunity to lead cutting-edge AI initiatives that set industry standards and drive significant impact across the retail ecosystem. What you'll do: Drive high-impact data science initiatives across recommendations, customer voice, market research, product innovation, segmentation, forecasting, measurement, and decision intelligence. * Frame ambiguous business questions as testable hypotheses with clear metrics and decision criteria. * Build, validate, deploy, monitor, and improve predictive, causal, and ML solutions. * Design experiments and causal measurement approaches, including A/B tests, uplift modeling, difference-in-differences, and synthetic control. * Work with agentic AI teams to answer user questions about measurement, impact, and causal drivers. * Mentor team members on coding, modeling, visualization, and analytical storytelling. * Communicate insights to influence decisions and drive business value. ## 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) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## 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) - [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 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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers)