Senior Data Analyst - Automotive

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

This role focuses on improving machine learning models in the automotive domain by addressing longtail issues, evaluating model performance, and developing tools for data lifecycle management and label quality. It involves working with data and collaborating with ML engineers.

What you'd actually do

  1. Address longtail issues in machine learning models using data-driven methods.
  2. Collaborate with machine learning engineers to evaluate model performance.
  3. Lead the development of internal tools for managing data lifecycles and ensuring label quality.

Skills

Required

  • Python
  • SQL
  • fundamental understanding of deep neural networks
  • model performance measurement
  • Master degree or above in related disciplines or equivalent experience
  • 8+ years working experience in the industry

Nice to have

  • Industrial experience in autonomous driving
  • documentation

What the JD emphasized

  • longtail issues in machine learning models
  • evaluate model performance
  • data lifecycles
  • label quality
  • deep neural networks
  • model performance measurement
  • Obsessed with details – in data and labels, every detail matters.

Other signals

  • addressing longtail issues in ML models
  • collaborating with ML engineers to evaluate model performance
  • leading development of internal tools for managing data lifecycles and ensuring label quality