(USA) Principal, Data Scientist

Position Summary... What you'll do... What You'll DoDevelop LLM-powered intelligent experiences that interpret and generate insightsfrom both tabular and unstructured data. Build and optimize personalized Q&A systems using large language models,enabling context-aware responses tailored to user needs. Design and enhance conversational talent recommendation systems, combiningautonomous agent architectures with personalized recommendationalgorithms. Advance traditional recommendation systems by evolving them from simple rankedlists to multi-topic, interactive experiences that better reflect user intent.Construct multi-agent intelligent workflows that translate natural language inputsinto complex, goal-directed task sequences. Collaborate within a highly cross-functional team, including data scientists,machine learning engineers, product managers, and UX designers. Partner with fellow data scientists to design, prototype, and iterate on AI/MLmodels and system architectures. Work closely with machine learning engineers to deploy, monitor, and optimizescalable AI/ML solutions in production environments.Collaborate with product managers to design intuitive user experiences, definefeedback loops, and analyze user telemetry to guide product improvements. Engage in end-to-end AI/ML product development, from ideation to deployment,while continually expanding your technical and product skillset. Follow and help define robust development standards to ensure the creation oftrustworthy, safe, and responsible AI systems. Contribute to internal and external AI/ML research through experimentation,whitepapers, and collaboration with the broader AI community.What You'll BringProven experience deploying high-risk NLP applications in real-world, productionenvironments—such as those involving regulatory compliance, privacy, safety, orfairness. Demonstrated ability to advance and implement Trustworthy AI and ResponsibleML practices, working cross-functionally with engineering, legal, policy, andproduct stakeholders across a large enterprise. Track record of mentoring and coaching junior data scientists, especially innavigating ambiguous or novel problem spaces.Strong applied machine learning experience, with solid foundational knowledge instatistics, optimization, and deep learning—preferably gained at leadingtechnology companies (e.g., Google, Meta, Microsoft) or AI-first startups. Excellent communication skills with the ability to synthesize complex technicalwork into accessible insights for executive briefings, research publications, andexternal presentations. Advanced proficiency in Python and common ML/DS libraries such as NumPy,pandas, scikit-learn, as well as deep learning frameworks like TensorFlow,PyTorch.Experience designing and deploying scalable deep learning systems, includingneural network architecture optimization, model distillation, quantization, or on-device inference. Strong understanding of machine learning infrastructure, including experiencewith Kubeflow, MLflow, Airflow is a plus. Bonus Skills:Hands-on experience with Text-to-SQL or Text-to-Cypher based application, or thedesign of modern recommender systems. Experience developing or fine-tuning large language models (LLMs), includingprompt engineering, retrieval-augmented generation (RAG), or open-weight modelcustomization.Publication history in top-tier ML/NLP conferences such as NeurIPS, ICML, ACL,EMNLP, or ICLRMinimum Qualifications... 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 fieldPreferred 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. Primary Location... 508 Sw 8Th St, Bentonville, AR 72712, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Apply tot his job