Senior Data Analyst - Automotive

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 168,000 - 322,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 8+ yearsEducation: mastersSkills: ["Communication","Collaboration","Attention to detail","Documentation","Data-driven problem solving"]

Work on real-world machine learning problems for autonomous vehicles using a data-driven approach. Address longtail ML issues, partner with ML engineers to evaluate model performance, and build internal tools to manage data lifecycles and maintain label quality. You’ll apply Python and SQL, understand deep neural networks and performance measurement, and use strong collaboration, documentation, and communication to deliver across teams.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Senior Data Analyst - Automotive

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Work on real-world machine learning problems for autonomous vehicles using a data-driven approach. Address longtail ML issues, partner with ML engineers to evaluate model performance, and build internal tools to manage data lifecycles and maintain label quality. You’ll apply Python and SQL, understand deep neural networks and performance measurement, and use strong collaboration, documentation, and communication to deliver across teams.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •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.
  • •Apply analytics to resolve real-world autonomous vehicle data/labeling challenges.
  • •Organize and document work across multiple projects.

Pay and Benefits

Salary: USD 168,000 - 322,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Proficiency in Python and SQL.
  • •Fundamental understanding of deep neural networks and model performance measurement.
  • •Excellent communication skills with a collaborative, team-oriented approach.
  • •Master’s degree or above in a related discipline (or equivalent experience).
  • •8+ years working experience in the industry.
Experience:8+ yearsAutonomous drivingMachine learningData engineering
Education:Master's
Skills:CommunicationCollaborationAttention to detailDocumentationData-driven problem solving
Tech Stack:PythonSQLDeep neural networksMachine learningModel performance measurement

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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