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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # E2E Data & Analytics - **Company:** Wal-Mart Stores, Inc. - **Location:** Springdale, AR, United States - **Experience:** Experienced - **Salary:** $110,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Java (Programming Language), Web Accessibility, Data Analysis, Application Frameworks, Microsoft Azure, BigQuery, C++ (Programming Language), Information Engineering, Data Warehousing, Python (Programming Language), Machine Learning, Tensorflow, Scala (Programming Language), SQL Databases, Web Content Accessibility Guidelines, Data Processing, Apache Spark, Scikit Learn, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** October 3, 2026 - **Apply:** https://www.themuse.com/jobs/walmart/usa-staff-data-scientist-e2e-data-analytics-center-of-excellence-666bbd ## About the Role * 5+ years of experience in utilizing advanced analytics to solve business problems. * Demonstrated expertise in developing advanced data science models and leading data-driven projects from conception to implementation, driving and influencing project roadmaps. * Proficient coding in one or more languages: Java, C++, Python, Spark, Scala, or R * Strong proficiency in SQL for data manipulation and querying. * Proficient with data warehouse like BigQuery and cloud platforms (GCP, Azure). * Extensive experience in MLOps and deploying/managing machine learning models. * Exceptional analytical and problem-solving skills, with the ability to think strategically and innovatively. * Excellent verbal and written communication skills, with the ability to present complex technical concepts to diverse audiences. * Track record of successfully interacting with business stakeholders and driving productive conversations. * Experience mentoring junior operations research or machine learning scientists., Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field, 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, 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 * Model Development: Applying sophisticated data science and advanced analytics models such as machine learning, statistical modeling, simulation, and optimization to produce valuable insights that guide decision-making and enhance business outcomes. * Data Engineering: Collaborating with data engineers to preprocess, clean, and structure data for model training and evaluation. Ensuring data pipelines are optimized for efficiency and accuracy. * Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in production environments, ensuring reliability and scalability. * Collaboration: Working closely with data scientists, data engineers, software engineers, product, and business stakeholders to understand requirements and translate them into technical solutions. * Communication: Engaging in effective communication with business stakeholders regarding model insights and the strategic importance of advanced analytics. * Mentorship: Guiding and mentoring junior associates on story types, structures, and techniques based on context. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Making Data Warehouses fast. 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