Senior Data Scientist, Voice of the Customer - GeForce NOW

About the role

The Senior Data Scientist for Voice of the Customer (VOC) team within GeForce NOW (GFN) is responsible for designing and deploying scalable logic, synthesizing unstructured data, owning system ownership, building pipeline architecture, and collaborating strategically with product and infrastructure teams.

Responsibilities

• Design and deploy production-ready algorithms for automating root-cause analysis of global streaming issues.
• Build pipelines to process and analyze forum discussions and direct feedback, linking sentiment to technical telemetry.
• Navigate the GFN software stack to identify data inconsistencies and refine predictive models for churn and capacity needs.
• Build automated ETL workflows transforming 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.

Requirements

• Foundational Depth: B.S., M.S., or PhD in Computer Science, Statistics, or Mathematics with mastery of probability and statistical modeling, or equivalent experience, plus 5+ years of proven experience.
• Core Execution: Expert-level Python programming skills, including writing modular, testable, and production-ready code.
• Data at Scale: Extensive experience with Spark, SQL, and Databricks, with proficiency in wrangling large datasets efficiently.
• NLP & Text Mastery: Practical experience in text processing, particularly handling vector databases and unstructured data structures.
• Statistical Toolkit: Proficiency in both supervised and unsupervised learning, with a 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: Background in cloud infrastructure, networking, or streaming technologies.

Qualifications

• Foundational Depth: B.S., M.S., or PhD in Computer Science, Statistics, or Mathematics with mastery of probability and statistical modeling, or equivalent experience, plus 5+ years of proven experience.
• Core Execution: Expert-level Python programming skills, including writing modular, testable, and production-ready code.
• Data at Scale: Extensive experience with Spark, SQL, and Databricks, with proficiency in wrangling large datasets efficiently.
• NLP & Text Mastery: Practical experience in text processing, particularly handling vector databases and unstructured data structures.
• Statistical Toolkit: Proficiency in both supervised and unsupervised learning, with a 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: Background in cloud infrastructure, networking, or streaming technologies.

Skills

• Foundational Depth: B.S., M.S., or PhD in Computer Science, Statistics, or Mathematics with mastery of probability and statistical modeling, or equivalent experience, plus 5+ years of proven experience.
• Core Execution: Expert-level Python programming skills, including writing modular, testable, and production-ready code.
• Data at Scale: Extensive experience with Spark, SQL, and Databricks, with proficiency in wrangling large datasets efficiently.
• NLP & Text Mastery: Practical experience in text processing, particularly handling vector databases and unstructured data structures.
• Statistical Toolkit: Proficiency in both supervised and unsupervised learning, with a 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: Background in cloud infrastructure, networking, or streaming technologies.

Benefits

• Competitive salary package.
• Eligibility for equity and benefits.

Pay

Base salary range: $152,000 - $241,500 USD.

Schedule

Full-time position.