Remote job · IT and software
Senior Data Scientist, Systems Performance
In one line: Senior Data Scientist, Systems Performance is a remote role in the United States at an autonomous vehicle technology company.
- Remote (US)
- An autonomous vehicle technology company
- Posted 8 Oct 2026
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https://keywordise.com/mcpApply to Keywordise job wcnb4xtggsAbout the role
Strengthen how an autonomous driving system is measured and validated, so that performance evaluation is rigorous and supports launch and release decisions. The work connects technical problems to data-driven methods.
At a glance
- PayNot stated in the posting
- Remote scopeRemote, United States
- Posted8 Oct 2026
- Last checked18 Oct 2026
What you will do
- Lead development of evaluation frameworks that measure and validate autonomous system performance
- Work with functional safety and systems engineering teams so metrics map to automotive safety standards
- Monitor metric reliability and incoming performance data, spotting drift and inconsistencies
- Apply statistical methods to simulation and on-road data and devise new analysis approaches
- Turn disengagements and edge cases into scenarios that feed the simulation catalog
- Use fleet and evaluation data to find coverage gaps and communicate insights clearly
What they look for
- Rigorous, collaborative data science background
- Experience designing evaluation methodologies and metrics
- Skill in statistical inference, sampling strategy and performance analysis
- Ability to connect technical problems to data-driven measurement approaches
- Strong communication of data-driven insights
Questions about this job
Is this job fully remote, and from where?
Yes. The posting lists Senior Data Scientist, Systems Performance as a remote role for candidates in the United States.
What does this job pay?
No pay range is stated in the posting.
What experience is needed?
The posting asks for: rigorous, collaborative data science background; experience designing evaluation methodologies and metrics; skill in statistical inference, sampling strategy and performance analysis.
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