Context

You are interviewing for a technical, customer-facing Data Scientist role at NVIDIA (HR screen). Provide concise, business-outcome-oriented responses that tie your background to NVIDIA’s current products and roadmap.

Tasks

1. Why NVIDIA and why this specific role? Tie your background to NVIDIA’s products/roadmap and the team’s goals.
2. Deliver a 60-second elevator pitch about yourself.
3. Describe a significant team conflict: your role, concrete actions, measurable outcome, and what you would do differently.
4. Describe a project that failed: leading indicators you missed, root cause analysis, and process changes you implemented afterward.
5. Give a customer-facing story where you handled tough objections and influenced a decision; include stakeholder mapping and quantified impact.
6. How would you approach selling NVIDIA GPUs to the CEO of Walmart for retail AI use cases? Outline discovery questions, value hypothesis, key stakeholders, a pilot design (success metrics, data, timeline), an ROI model, risks/compliance, and a follow-up plan.
7. Where do you see yourself in 5 years and how does this role accelerate that path?
8. Reflect on what you learned during this interview process and how it changed your approach.