About Revvo
Revvo TireIQ combines AI tire monitoring, predictive tire intelligence, and fleet workflows to help reduce downtime, control tire costs, and improve safety. Backed by Norwest and Techstars.
About the role
Please reach out to recruiting@revvo.ai for more information
What they're looking for
- Familiarity with Git, or modern version control system
- Experience with literature reviews
- Ability to read and write publications in the data science space
- Ability to communicate complex data in a simple, actionable way
- Experience with data science tools (Pandas, numpy, Docker, Jupyter)
- Appreciation for thoroughness and correctness in data science
More about this role
- Revvo’s purpose is to monitor and maximize the life of tires
- Our Data Scientists create and maintain machine learning models to uncover insights from our data sets
- Create and maintain predictive models applied to our customer datasets
- Engineer features that aid in our understanding of tire dynamics and their usage by customers
- Design metrics and tests to judge the quality and performance of our machine learning models
- Work closely with our firmware and hardware teams to efficiently pre-process data on the edge
- Collaborate with data engineering teams to create scalable processing pipelines
- Guide our data collection team on acquiring data for in-house tire/vehicle models
- Work with external tire laboratories and manufacturers to design data collection tests
- Familiarity with Git, or modern version control system
- Experience with literature reviews
- Ability to read and write publications in the data science space
- Ability to communicate complex data in a simple, actionable way
- Experience with data science tools (Pandas, numpy, Docker, Jupyter)
- Appreciation for thoroughness and correctness in data science
- 3+ years of experience in Python, R, or Scala
-...
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