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.
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 8+ 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.
Ways to stand out from the crowd:
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.
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. Are you a creative and autonomous Systems Software Engineer, who loves challenges? Do you have a genuine passion for advancing the state of Computer Vision 3D across a variety of industries? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.Skills Required
- B.S., M.S., or PhD in Computer Science, Statistics, or Mathematics
- 8+ years of proven experience in data science
- Expert-level Python programming
- Experience with Spark, SQL, and Databricks
- Practical experience in NLP and text processing
- Proficiency in supervised and unsupervised learning
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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