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Data Scientist: Tire Analytics & Edge ML

Posted yesterday

revvoSan Mateo (CA)

SENIORITY

Mid

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About the role

Revvo is seeking a data scientist to create and maintain predictive models applied to customer datasets. You will engineer features that shed light on tire dynamics and usage by customers, and design metrics to judge model quality. You will collaborate with firmware, hardware, and data engineering teams to build scalable pipelines, guide data collection, and work with external labs to design data collection tests.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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