Staff Data Scientist at Walmart focused on using GenAI, AI, ML, deep learning, and computer vision to improve the product catalog. The role involves designing, developing, and deploying models into production, mentoring junior members, and consulting with business stakeholders. Experience with production deployment of DS models via Spark, Kubernetes, and Python is required.

Senior Data Scientist role focused on designing, developing, and deploying AI/ML, NLP, and LLM models into production environments for Walmart's B2B Commercialization Platforms and Enablement team. The role involves integrating data science solutions into business processes, promoting ML best practices in retail, and collaborating with stakeholders to drive strategic decision-making. Requires a strong history of hands-on AI/ML modeling, GenAI/Deep Learning experience, and proven success in delivering production-ready AI/ML solutions.

Staff Data Scientist role at Walmart focused on leveraging Computer Vision, Generative AI, and VLMs to build and deploy advanced retail solutions. Responsibilities include designing, training, and deploying computer vision models for object detection and personalization, building foundation model pipelines with multimodal signals, and mentoring team members on generative modeling techniques. The role also involves integrating models with MLOps for performance optimization and deployment in production environments.

Senior Manager, Advanced Analytics role focused on shaping Walmart Fulfillment Services (WFS) Seller Success strategy through data-driven decision-making, predictive modeling, and strategic business insights. The role involves building scalable analytics frameworks, developing models and algorithms, and identifying insights to improve seller satisfaction, business outcomes, and reduce attrition. It requires partnering with data science teams and implementing predictive models. The role also involves constructing seller satisfaction scores and establishing performance monitoring systems.

Principal Data Scientist to drive data-informed strategy and innovation across Walmart’s eCommerce ecosystem. This role involves designing scalable data science strategies, developing impactful features, simulating business scenarios, and translating analytical insights into strategic decisions. Collaboration with product, engineering, and business teams is key to optimizing customer experience, personalization, and AI-driven commerce initiatives.

Staff Product Manager to define and drive the future of User Generated Content (UGC) at Walmart, focusing on how customer voices shape the shopping experience. This role will lead strategy and execution for the end-to-end UGC platform, leveraging AI and LLMs for features like Review Summary, fraud detection, and personalized displays, ultimately aiming to make Walmart the most trusted place to shop.

Senior Data Scientist role focused on GenAI Search Experience at Walmart, aiming to reshape customer interaction and build intelligent systems for e-commerce. The role involves applying and developing ML techniques, building scalable models, defining metrics, and collaborating with business and engineering teams to deliver impactful solutions. Emphasis on state-of-the-art ML systems, personalized experiences, and potential for peer review in top AI conferences.

Senior Data Scientist role focused on developing and deploying state-of-the-art Machine Learning, Personalization, and Recommendation systems for Walmart's e-commerce platform. The role involves designing, implementing, and iterating on ML models, including deep learning and generative AI techniques, with a strong emphasis on scalability and end-to-end model architecture for e-commerce applications.

Director of Data Science for Walmart’s Last Mile Delivery team, responsible for driving strategy and science, leading a team focused on leveraging automation and AI to shape the future of the last mile network, and developing and implementing advanced data science solutions to enhance delivery capabilities and efficiency.

Lead a team of 10+ engineers in designing and delivering a next-generation suite of measurement solutions for a multi-billion dollar advertising business at Walmart scale. This role involves defining technical direction, conducting design reviews, and partnering with data scientists, ML engineers, and product managers to solve AdTech problems using ML, statistical methods, and GenAI techniques, ensuring stability and correctness. The ideal candidate has 5+ years of experience in ML and data-intensive platform development, 2+ years as a staff-level technical lead, and familiarity with distributed systems. Experience in AdTech measurement, real-time streaming, and emerging GenAI patterns is a plus.

Senior Manager, Data Science at Walmart, leading a team to develop and deploy decision strategies for fraud and performance risk mitigation on the e-commerce marketplace. The role involves applying advanced data science, machine learning, and AI techniques, collaborating with cross-functional teams, and mentoring junior data scientists. Focus is on building and optimizing scalable risk management models.

Lead the transformation of earnings through advanced data science, automation, and innovation. As Director, you’ll drive high-impact analytical solutions, shape data strategy, and scale machine learning capabilities across the business. This role offers a unique opportunity to influence enterprise decisions, deliver measurable ROI, and build cutting-edge data products that power the future of retail.

Senior Data Scientist role at Walmart's Sam's Club, focusing on developing and deploying data-driven AI solutions. The role involves data sourcing, quality assessment, building and scaling machine learning models, and collaborating with cross-functional teams to deliver actionable insights and support business objectives. The position is part of the AI Center of Excellence, working with enterprise data to create prescriptive AI applications.

Staff Data Scientist at Walmart (Sam's Club) focused on ML-driven audience targeting and experimentation for onsite media. The role involves designing, building, and deploying ML models (propensity, LTV) for advertiser outcomes, owning technical partnerships, scaling models from POC to production, designing and analyzing A/B tests, and automating insights using GenAI for executive storytelling. Requires experience in ML model development, experimentation, operationalizing analytics, and GenAI tools, with a preference for retail media or AdTech experience and GCP tooling.

Lead the development and deployment of advanced data science solutions, leveraging machine learning and automation to address complex business challenges. Translate business requirements into data strategies and analytical models that drive measurable business impact and align with organizational goals. Oversee code development, testing, and validation to ensure robust, scalable, and maintainable data products. Guide data source identification, quality assessment, and integration to support accurate and actionable insights. Mentor and develop data science teams, fostering technical excellence and continuous learning. Collaborate cross-functionally to communicate findings and influence data-driven decision-making.

Senior Manager, Data Science at Walmart, focused on developing and deploying Gen AI applications for the finance department. The role involves managing a team of data scientists and ML engineers, building models using NLP, LLM, Timeseries, and recommendation systems, and deploying scalable AI/ML/DL solutions for retail and e-commerce business outcomes.

Manager of Automation Engineering focused on scaling and optimizing a 30K automation initiative in retail fulfillment. The role involves owning automation performance management, defining acceptance criteria for new systems, identifying performance loss opportunities, supporting root-cause analysis, and building tools for insights and decision-making. It requires strong analytical skills with SQL and Python, experience with BI tools, and the ability to translate technical findings into actionable insights for various stakeholders. The role also mentions leveraging AI to accelerate design and build agents for analytics.

Staff Data Scientist role at Walmart focused on applying machine learning to enhance e-commerce search and product discovery. The role involves end-to-end responsibility for analyzing data, building, validating, testing, and deploying predictive models to improve relevance and understand customer preferences across various modalities (voice, text, image). The goal is to help customers make the right purchase decisions, impacting millions of users.

Seeking a Principal Data Scientist to lead the development and deployment of AI, simulation, and advanced analytics solutions for Walmart US Retail. This role involves translating complex business problems into scalable models and systems for areas like supply chain and workforce optimization, combining technical expertise with cross-functional collaboration to deliver productionized solutions.

Director of Data Science leading a team focused on pricing optimization, assortment, space design, and inventory flow for Walmart's global retail platforms. The role involves applying agentic AI and mathematical optimization to revolutionize retail operations, focusing on people leadership and operational optimization.

Principal Software Engineer to lead the integration of GenAI and LLMs into production e-commerce systems, focusing on customer-facing features and influencing architecture across teams. The role involves shipping AI-infused features, optimizing GenAI/LLM services at scale, and building internal AI best practices.

The role involves applying machine learning algorithms to enhance e-commerce search relevance and minimize risks. Responsibilities include building, validating, testing, and deploying predictive models using ML techniques, identifying and preparing data for modeling, and performing developments in NLP, computer vision, information retrieval, entity recognition, product classification, and recommendation systems. The goal is to understand customer preferences and enable better purchase decisions through ML-driven engagement and conversation.

Senior Data Scientist role focused on solving complex business problems in Ethics and Compliance using machine learning and optimization techniques. The role involves translating business requirements into technical solutions, building and processing large datasets, designing, implementing, and productionizing predictive and optimization models, and applying best practices for model testing and tuning. The position requires strong programming skills in Python and experience with distributed computing platforms and ML/DL frameworks.

Lead a team of data scientists and engineers focused on pricing optimization for Walmart's global retail platforms. Develop and execute strategies for price point and markdown optimization using agentic AI, machine learning, and mathematical optimization. Oversee the full data science lifecycle from scoping to deployment and impact measurement, driving AI innovation in pricing.

Principal Data Scientist role at Walmart Global Tech focusing on applying advanced ML and statistical models to solve business problems in retail and finance. The role involves driving data-derived insights, building and training AI/ML models, communicating recommendations, and leading the adoption and deployment of ML products. Experience with various ML techniques, Gen-AI, cloud platforms (GCP/Azure), and big data technologies is required, with a focus on scaling and deploying solutions.

Group Director of Data Science leading centralized eCommerce Decision Science/AI, Data Engineering, and Business Intelligence functions. The role involves scaling the eCommerce business through modeling and generative AI insights, leading data engineering and BI capabilities, shaping the analytical roadmap, and implementing new machine learning models. Requires a blend of visionary leadership and hands-on involvement, with a focus on delivering data-driven solutions for customer-facing problems at scale.