Senior Data Scientist, Voice Customer - GeForce

GeForce NOW (GFN) provides high‑performance gaming to millions, regardless of their hardware. Within the Voice of the Customer team, we bridge the gap between petabytes of telemetry and the human experience. We don't just report on what is happening; we build the systems that explain why it’s happening. Our work directly influences cloud streaming performance, security, and user retention by translating massive, unstructured datasets into precise engineering actions.

We are looking for a validated practitioner who understands the "how" as much as the "why." As a Senior Data Scientist for VOC, you will be responsible for the end‑to‑end lifecycle of data products that protect the GFN user experience. This isn’t a "reports and slides" role—you will be architecting systems that detect anomalies in real‑time and correlate qualitative feedback with quantitative system performance.

• Design and deploy production‑ready algorithms that automate root‑cause analysis for global streaming issues.
• Build pipelines to process and analyze forum discussions and direct feedback, using semantic chunking and vector databases to link sentiment to technical telemetry.
• Navigate the full GFN software stack to identify data inconsistencies and refine models that predict churn and capacity needs.
• Build automated ETL workflows that transform raw logs into actionable signals for engineering and business leadership.
• Work directly with product and infrastructure teams to translate statistical patterns into prioritized product roadmaps.

• B.S., M.S., or Ph.D. in Computer Science, Statistics, or Mathematics (or equivalent experience) with mastery of probability and statistical modeling; at least 5 years of proven experience.
• Expert‑level Python; code that is modular, testable, and built for production.
• Extensive experience with Spark, SQL, and Databricks—comfortable wrangling massive datasets where efficiency is a requirement.
• Practical experience in text processing, including vector databases and unstructured data structures.
• Proficiency in supervised and unsupervised learning, with a focus on time‑series analysis and anomaly detection.

• Experience maintaining production pipelines with MLOps tools such as MLflow or Kubeflow.
• Experience leveraging NVIDIA GPUs for large‑scale data processing and model training.
• Background in cloud infrastructure, networking, or streaming technologies.

Base salary range: 152,000 USD – 241,500 USD. Eligibility for equity and benefits.

Applications will be accepted until July 17, 2026.

This posting is for an existing vacancy.

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NVIDIA is committed to fostering an inclusive work environment and proud to be an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.