Staff, Data Scientist
Position Summary...Invent the Future of Operations: Design AI systems that reimagine how inventory is managed, products are produced, and associates work.Advance GenAI & Agentic AI: Scale AI agents capable of reasoning, orchestrating tasks, and dynamically adjusting to real-world signals.Drive Enterprise-Scale Impact: Deliver AI solutions that create value across the chain, improving efficiency, reducing waste, and unlocking growth.Build Reusable Innovation: Develop frameworks that can be leveraged enterprise-wide, fueling AI innovation beyond the club environment.Lead with Responsibility: Ensure solutions are safe, explainable, and aligned with ethical AI practices.Inspire & Mentor: Shape the next generation of data scientists through technical leadership, and thought partnership. What you'll do...About the team: At Sam's Club Applied AI Labs, we're shaping the next phase of in-club operations: where associates are guided by intelligent agents, decisions are informed by live signals, and every member interaction is enhanced through AI innovation.The In-Club AI team is the engine behind this transformation. We're building the future of retail operations with next-generation machine learning, GenAI, and agentic AI systems that don't just predict outcomes-they adapt, reason, and act in real time. Our mission is ambitious: to redefine how clubs run, scale solutions across the enterprise, and create reusable AI that powers innovation far beyond the sales floor. What you'll do:
- Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
- Develop and implement data strategies aligned with business objectives to unlock value from data assets.
- Design, test, and validate predictive models using advanced statistical and machine learning techniques.
- Create clear and impactful data visualizations to communicate insights to stakeholders effectively.
- Collaborate with cross-functional teams to translate business problems into data-driven solutions.
- Deploy and monitor models in production, ensuring scalability and performance.
- Mentor team members on analytical methods, coding best practices, and model development.
- AI Expertise: Strong background in machine learning, statistical modeling, deep learning, and causal inference.
- GenAI & Agents: Hands-on experience with LLMs, prompt engineering, fine-tuning, and agent orchestration frameworks.
- Systems Thinking: Proven ability to design and scale ML pipelines in cloud environments.
- Engineering Excellence: Proficiency in Python, SQL, modern ML frameworks, and distributed data platforms.
- Innovation Mindset: Passion for pushing the boundaries of AI-patents, publications, or unique applications are a plus.
- Leadership: Demonstrated ability to mentor, influence cross-functional partners, and set the technical bar for a team.
- Preferred: Background in applying AI to large-scale operational or retail environments.