Staff, Data Scientist

Responsibilities

• Develop LLM-powered intelligent experiences that interpret and generate insights from 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, combining autonomous agent architectures with personalized recommendation algorithms.
• Advance traditional recommendation systems by evolving them from simple ranked lists to multi-topic, interactive experiences that better reflect user intent.
• Construct multi-agent intelligent workflows that translate natural language inputs into 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/ML models and system architectures.
• Work closely with machine learning engineers to deploy, monitor, and optimize scalable AI/ML solutions in production environments.
• Collaborate with product managers to design intuitive user experiences, define feedback 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 of trustworthy, safe, and responsible AI systems.
• Contribute to internal and external AI/ML research through experimentation, whitepapers, and collaboration with the broader AI community.

Requirements

• Proven experience deploying high-risk NLP applications in real-world, production environments-such as those involving regulatory compliance, privacy, safety, or fairness.
• Demonstrated ability to advance and implement Trustworthy AI and Responsible ML practices, working cross-functionally with engineering, legal, policy, and product stakeholders across a large enterprise.
• Track record of mentoring and coaching junior data scientists, especially in navigating ambiguous or novel problem spaces.
• Strong applied machine learning experience, with solid foundational knowledge in statistics, optimization, and deep learning-preferably gained at leading technology companies (e.g., Google, Meta, Microsoft) or AI-first startups.
• Excellent communication skills with the ability to synthesize complex technical work into accessible insights for executive briefings, research publications, and external 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 d

Additional Information

Position Summary... What you'll do... About Enterprise Business Services (EBS) The Enterprise Business Services (EBS) team serves as Walmart's strategic technology partner across all business verticals, powering innovative solutions that enable our business to thrive. As a core pillar of Walmart Global Tech, EBS delivers robust service operations and cutting-edge technology platforms for Finance, People, and the Associate Digital Experience, driving operational excellence at Fortune #1 scale. Our mission is to empower Walmart's global business units with secure, scalable, and forward-thinking technology solutions. By collaborating closely with stakeholders and leveraging deep industry expertise, EBS ensures that our business partners have the tools and insights they need to deliver outstanding value to our customers and members worldwide. EBS is committed to continuous improvement and innovation, shaping the future of Walmart's enterprise operations through automation, data-driven decision-making, and seamless digital experiences. As the technology backbone for critical business functions, we enable managers and associates to focus on what matters most: supporting our customers, members, and communities. About 10X Team The 10X team is an elite group of Machine Learning Engineers, Data Scientists, and Full Stack technologists united by a single mission: creating scalable, data-driven solutions that redefine what's possible for Walmart. By working across domains and functions, 10X delivers AI agents, applied AI products, and core engineering capabilities at true enterprise scale. Our multidisciplinary team thrives on solving complex challenges - combining deep expertise in AI/ML, software engineering, and data science to build intelligent systems that drive real business value. From designing autonomous AI agents to deploying robust applications and platforms, 10X accelerates innovation and delivers measurable impact for associates, customers, and the business. In everything we do, we leverage the power of data, AI , and agile engineering to create solutions that are not just incremental, but exponential - enabling Walmart to operate smarter, faster, and more efficiently.

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