Walmart

Senior Data Scientist role focused on developing and experimenting with deep learning and multimodal generative models for conversational AI within Walmart's Emerging Tech team. The role involves hands-on model development, rapid experimentation, and partnering with engineers to deploy and iterate on models in production, influencing millions of customers.

Staff Software Engineer/MLE on the Emerging Tech Extended Reality team at Walmart, focusing on Computer Vision, Machine Learning, and Deep Learning for AR/VR experiences. Responsibilities include developing multi-modal GenAI models for content generation and intelligence, scaling data pipelines, establishing model evaluation frameworks, driving production integration of AI applications, and translating research into production-grade solutions. Requires experience with multi-modal LLMs, diffusion models, 3D representation learning, and Python frameworks like PyTorch/TensorFlow.

Senior Data Analyst role focused on applying advanced analytics and machine learning to derive insights, build causal frameworks, and predict outcomes for Walmart's Marketplace platform. Responsibilities include data manipulation, model development, evaluation, and communication of findings to business and product teams. Requires expertise in SQL, Python, ML libraries, and visualization tools.

Senior Data Scientist role focused on developing and deploying AI/ML models for membership insights within the contact center at Sam's Club. The role involves data analysis, model training, validation, and deployment, with a focus on optimizing chatbot performance and providing actionable insights through data visualization. The position also includes mentoring junior team members and contributing to data strategy.

Senior Data Scientist role focused on building and deploying complex, scalable deep learning and reinforcement learning algorithms for pricing optimization within Walmart. The role involves developing algorithms, ensuring scalability across numerous categories and stores, providing transparency on recommendations, preparing data, and documenting frameworks. Experience with optimization, RL, and deploying ML models at scale is required.

Senior Software Engineer role focused on building platforms, Machine Learning models, and AI Agents within Walmart's Finance Technology department. The role involves processing large quantities of data, developing ML models for observability and alerting, and orchestrating systems for end-to-end visibility. Experience with traditional software engineering practices is required, with a plus for Big Data, analytics, and ML model deployment.

Senior Data Scientist at Walmart focused on building and deploying machine learning and GenAI models for customer intelligence and segmentation. The role involves developing causal inference studies, statistical methodologies, and econometrics to analyze actions and behaviors. Responsibilities include data gathering, validation, synthesis into large datasets, and utilizing big data analytics to identify trends. The candidate will build and train statistical models and ML algorithms, develop custom models for business solutions, and scale them to large datasets. Experience with deep learning frameworks (Tensorflow, Pytorch) and cloud platforms (GCP, AWS, Azure) is required, along with proficiency in Python and Java.

Senior Data Scientist at Walmart on the Content Intelligence team, specializing in personalization through AI/ML models. Focuses on developing, validating, and deploying scalable data models using advanced analytical techniques and machine learning, with applications in recommendation systems and NLP to enhance customer engagement.

Senior Data Scientist role focused on advancing demand forecasting and machine learning solutions within Walmart's OneDemand Forecasting organization. The role involves designing and improving models for large-scale forecasting systems, collaborating with cross-functional teams, and applying advanced statistical and ML techniques to enhance accuracy, scalability, and explainability. Responsibilities include building and improving forecasting models, experimenting with ML/statistical techniques, collaborating with engineering on pipelines and deployment, prototyping new methods, integrating data sources, monitoring/evaluating models, and participating in responsible AI practices.

Senior Data Scientist role at Walmart focused on leveraging advanced analytical and modeling techniques to extract insights from complex data sets, supporting strategic business decisions. The role involves data sourcing, quality assessment, model development, deployment, and validation, with a focus on generative AI, agentic intelligence, and machine learning to enhance retail experiences and operations.

Principal Data Scientist at Walmart focused on developing and deploying advanced analytical models using Double Machine Learning and Causal Modeling. The role involves generating data-driven insights, collaborating across functions, mentoring team members, and ensuring the quality and impact of data insights. The team focuses on scalable, data-driven solutions for Ad-tech, including autonomous AI agents and reliable applications.

Staff Data Scientist role focused on building and deploying ML systems for translation, localization, contextualization, and personalization within Walmart's global tech division. The role involves applied research in NLP and multilingual AI, building scalable data pipelines, and end-to-end ownership of ML systems. Experience with sequence-to-sequence modeling, Transformers, LLMs, and ML frameworks like PyTorch or TensorFlow is required.

Senior Data Scientist role focused on developing, validating, and deploying scalable AI/ML models and analytical solutions for business insights. Requires expertise in Python, MLOps, and cloud environments.

Staff Data Scientist role focused on designing and deploying advanced forecasting models using statistical, ML, and deep learning methods. The role emphasizes explainability (XAI), graph-based modeling, and building agentic workflows for forecasting. Requires strong Python skills, experience with deep learning frameworks, and production-grade ML model delivery.

Senior Data Scientist role focused on developing and deploying advanced statistical and machine learning models for retail divisions, with a focus on Global Sourcing. The role involves leading a team, utilizing big data analytics, and ensuring model scalability and sustainability in production environments. Experience with MLOps and model evaluation/tuning is required.