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# Senior Data Analyst - Automotive

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Information Engineering, Python (Programming Language), Machine Learning, Standard Sql, Data Analytics
- **Published:** August 7, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-data-analyst-automotive-santa-clara-ca-usa-58831431

## About the Role

Experteer Overview As a Data Analyst - Automotive at NVIDIA, you will tackle real-world ML challenges with data-driven approaches that advance autonomous driving technology. You'll work closely with ML engineers to assess model performance and drive improvements. You will lead the development of internal tools to manage data lifecycles and ensure label quality, enabling scalable, reliable data for models. This role sits at the intersection of data engineering, ML, and automotive insights, offering impact across teams in a fast-paced, innovative environment. Compensation / Benefits * Address longtail issues in machine learning models using data-driven methods * Collaborate with machine learning engineers to evaluate model performance * Lead the development of internal tools for managing data lifecycles and ensuring label quality Tasks * Proficiency in Python and SQL * Fundamental understanding of deep neural networks and model performance measurement * Excellent communication skills
and a collaborative, team-oriented approach * Master degree or above in related disciplines or equivalent experience * 8+ years working experience in the industry Key requirements * equity * comprehensive benefits package * competitive salary

## Description

Experteer Overview As a Data Analyst - Automotive at NVIDIA, you will tackle real-world ML challenges with data-driven approaches that advance autonomous driving technology. You'll work closely with ML engineers to assess model performance and drive improvements. You will lead the development of internal tools to manage data lifecycles and ensure label quality, enabling scalable, reliable data for models. This role sits at the intersection of data engineering, ML, and automotive insights, offering impact across teams in a fast-paced, innovative environment. Compensation / Benefits * Address longtail issues in machine learning models using data-driven methods * Collaborate with machine learning engineers to evaluate model performance * Lead the development of internal tools for managing data lifecycles and ensuring label quality Tasks * Proficiency in Python and SQL * Fundamental understanding of deep neural networks and model performance measurement * Excellent communication skills and a collaborative, team-oriented approach * Master degree or above in related disciplines or equivalent experience * 8+ years working experience in the industry Key requirements * equity * comprehensive benefits package * competitive salary


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