Walmart

This role focuses on developing and managing advanced data analytics models to optimize Walmart's supply chain. It involves leveraging data analytics for process improvement, identifying bottlenecks, predicting trends, and creating a Digital Twin Simulation platform. The role requires collaboration with cross-functional teams, securing stakeholder alignment, and communicating data insights effectively. While it involves advanced analytics, the core focus is on data engineering and optimization within the supply chain, rather than core AI/ML model development or research.

Manager, Data Analytics role focused on building and maintaining data pipelines for operational intelligence and business analysis within Walmart Connect. The role involves leveraging GenAI for automation, implementing anomaly detection, and championing engineering best practices. It requires strong SQL, Python, GCP, and data pipeline experience.

Staff Data Scientist at Walmart focusing on Decision Sciences, using machine learning, statistical modeling, simulation, and optimization to solve complex business problems in areas like Supply Chain and Store Operations. The role involves developing and refining algorithms, ensuring model scalability, and collaborating with various teams to deliver analytical solutions.

Quality Engineer III role focused on testing data pipelines and ETL/ELT workflows, with specific experience in prompt engineering for data quality rules and synthetic data generation. The role involves designing and executing test strategies, managing CICD processes, and understanding software architecture and DevOps principles. Requires 5+ years in QE, with 3+ years supporting data engineering, and experience with SQL and Python.

Senior Data Analyst focused on building and optimizing fraud detection capabilities using SQL and Python pipelines. The role involves analyzing user behavior, developing risk-signal logic, experimenting with ML features and behavioral models, and making critical fraud deactivation decisions. It requires strong analytical skills, experience with structured investigation processes, and the ability to present findings to senior leadership.

Software Engineer III role at Walmart focused on building data-driven platforms and capabilities for Personalization experiences across various channels (site, app, stores, voice). The role involves processing petabyte-scale features data, collaborating on scalable systems, and working with business stakeholders on strategy and roadmap for Personalization and Recommendations. It requires experience in large-scale distributed systems, big data processing (Spark, Kafka, Hadoop), evaluating and fine-tuning systems, designing features/models from data, and building datasets/tools for big data operations. Proficiency in Java/Scala, Python, SQL/NoSQL databases, and Git is expected. The team leverages ML, DL, RL, and NLP to create 1:1 personalized customer experiences and assisted AI for associates.

Senior Software Engineer role focused on building core platforms and services for Walmart's marketplace, with a specific emphasis on applying and developing ML solutions for scalable models within the supply chain management and customer experience domains.

Senior Software Engineer in the Cloud and Data Foundations organization, focusing on database platform engineering. The role involves designing, building, and maintaining software solutions for datastore fleet management, automating operational workflows, and driving operational efficiency for SQL and NoSQL databases. A preferred skill is developing automation workflows using AI engineering frameworks like LangChain, vector databases, and LLMs for complex operational tasks.

Senior Software Engineer role focused on enhancing Walmart's Inventory Management System (IMS) by integrating AI/ML tools to improve system intelligence and develop scalable models. The role involves full software development lifecycle, stakeholder collaboration, and ensuring system resiliency and performance at massive scale.

Senior Director to lead an organization responsible for aligning workforce capacity, associate time, and operational execution to real customer demand at enterprise scale. This role combines platform ownership and changes leadership with greenfield innovation, driving workforce planning and execution systems while building new capabilities that connect associate behavior to measurable store and customer outcomes. The role requires a data-driven mindset with experience in data modeling, metrics, and machine learning.

Senior Manager, Software Engineering leading platform-level execution of software, overseeing infrastructure, tooling, and frameworks. Drives DevOps, cloud cost optimization, and technical excellence. Guides architectural decisions, mentors engineers, and manages complex initiatives. Modernizes the Finance Data Factory and is familiar with the modern AI stack (Vector Databases, Knowledge Graphs, framework orchestration).

Senior Software Engineer on the MarTech Data Engineering team, responsible for delivering features and models, integrating GenAI/ML components, and enhancing software capabilities using generative AI tools. Focuses on building scalable, secure, and maintainable systems within a cloud-native architecture.

Senior Data Assurance Engineer responsible for building and maintaining automation and AI-assisted initiatives to improve signal quality, scalability, and operational efficiency in Data Loss Prevention (DLP). This role involves tuning DLP detection logic, classification rules, and protection policies across various platforms, collaborating with multiple teams to implement controls, and supporting audits and risk assessments. The focus is on enhancing data protection, reducing false positives, and ensuring data security and integrity within a regulated environment.

Staff Data Assurance Engineer at Walmart focused on driving automation and AI-assisted initiatives to improve signal quality, scalability, and operational efficiency in Data Loss Prevention (DLP). The role involves building automation for solution management, high-level reporting, and predictive analytics, with a strong emphasis on cybersecurity principles, coding, and stakeholder management.

This role applies economics and advanced statistical/econometric techniques, including machine learning or artificial intelligence, to perform causal inference and build structural models for counterfactual analysis. The candidate will develop data pipelines, manipulate, analyze, visualize, and model large datasets using languages like SQL, Python, or R, and communicate findings to both technical and business audiences. Collaboration with cross-functional stakeholders and consulting on best practices for data analysis and experimentation are also key responsibilities.

Senior Manager, Data Science - Geospatial leads the strategy, development, and execution of advanced geospatial analytics, data science models, and insights that directly inform enterprise level decisions. This role combines deep geospatial and data science expertise with strong people leadership and business acumen to translate complex spatial data into actionable insights across real estate, market strategy, operations, and merchandising. The role owns end to end delivery of geospatial analytics — from data sourcing and model development through insight storytelling and executive engagement — while building and scaling a high performing team of data scientists, analysts, and GIS specialists.