Senior Data Scientist, Voice of the Customer - GeForce NOW

What You'll Be Doing

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

What We Need To See

• Foundational Depth: B.S., M.S., or PhD in Computer Science, Statistics, or Mathematics with mastery of probability and statistical modeling (or equivalent experience), along with 5+ years of proven experience.
• Core Execution: Expert-level Python. You write code that is modular, testable, and built for production.
• Data at Scale: Extensive experience with Spark, SQL, and Databricks. You should be comfortable wrangling massive datasets where efficiency is a requirement, not an afterthought.
• NLP & Text Mastery: Practical experience in text processing, specifically handling vector databases and unstructured data structures.
• Statistical Toolkit: Proficiency in both supervised and unsupervised learning, with a specific focus on time-series analysis and anomaly detection.
• MLOps Proficiency: Experience maintaining active production pipelines using tools like MLflow or Kubeflow.
• GPU Acceleration: Experience leveraging NVIDIA GPUs for large-scale data processing and model training.
• Domain Expertise: A background in cloud infrastructure, networking, or streaming technologies.

Benefits

With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us.