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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # (USA) Principal, Data Scientist - **Company:** Wal-Mart Stores, Inc. - **Location:** Bellevue, WA, United States - **Experience:** Experienced - **Salary:** $132,000.0 - $264,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Web Accessibility, Artificial Intelligence, Amazon Web Services, Data Analysis, Application Frameworks, Big Data, Cloud Computing, Dataspaces, Data Visualization, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Tensorflow, Scala (Programming Language), Web Content Accessibility Guidelines, Apache Spark, Deep Learning, Model Validation, Scikit Learn, Information Technology, Optimization Algorithms, Data Analytics, Programming Languages - **Published:** September 11, 2026 - **Apply:** https://dejobs.org/x/x/F58DDD1DCC90415F9399C04588EFCEA2/job/ ## About the Role * Extensive experience in developing and deploying machine learning models using Python and related tools. * Proficiency in statistical analysis, hypothesis testing, and advanced modeling techniques including deep learning and optimization methods. * Strong knowledge of data sourcing, quality assessment, and data ecosystem management to ensure fit-for-purpose datasets. * Ability to translate complex business problems into analytical solutions with measurable impact. * Expertise in optimization or machine learning as well as model validation, deployment, and lifecycle management for scalable production environments. * Demonstrated leadership in mentoring teams and driving cross-functional collaboration to deliver data-driven insights. * Familiarity with cloud platforms such as AWS SageMaker or GCP for model development and deployment., 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 Join Walmart as a Principal Data Scientist to lead advanced analytics initiatives that drive strategic business decisions. This role involves developing and deploying optimization and machine learning models, performing statistical analysis, and leveraging large-scale data to solve complex problems. The position requires collaboration across functions to translate business needs into data-driven solutions, ensuring model accuracy and scalability. The ideal candidate will apply expertise in coding, data visualization, and optimization techniques to enhance operational efficiency and deliver measurable business impact within a dynamic, technology-driven environment. About the team: The Inventory Decision Intelligence team, part of Applied AI, develops advanced AI and mathematical optimization solutions to enhance inventory management across Walmart's network. The team builds scalable, reliable decision systems that optimize how inventory is ordered, positioned, transferred, and managed. Collaborating closely with engineering, product, and business teams, they improve inventory availability and sales while reducing excess and operating costs. Their work delivers improved experiences for customers and associates by applying agentic AI, statistical analysis, and optimization techniques to create consistent, data-driven solutions across varied business environments. What you'll do: * Develop, test, and deploy advanced data science solutions using appropriate programming languages and tools. * Analyze complex business problems to identify root causes and recommend data-driven approaches. * Identify and validate suitable data sources, ensuring data quality and relevance for modeling. * Design and implement optimization algorithms or machine learning models, optimizing features and algorithms for accuracy and scalability. * Evaluate model performance using rigorous validation techniques and adjust models accordingly. * Collaborate with stakeholders to translate business requirements into actionable data strategies. * Mentor team members on analytical methods, modeling techniques, and best practices. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Harnessing the Power of Open Source's Newest Technologies](https://www.wearedevelopers.com/videos/1448-harnessing-the-power-of-open-source-s-newest-technologies) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## 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) - [Diversity Equity And Inclusion in Programming For Persons With Disability](https://www.wearedevelopers.com/magazine/80-diversity-equity-and-inclusion-in-programming-for-persons-with-disability) - [How Developers Can Focus on Maintaining Satisfaction With Accessibility](https://www.wearedevelopers.com/magazine/109-how-developers-can-focus-on-maintaining-satisfaction-with-accessibility) - [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) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)