Data Scientist: Tire Analytics & Edge ML

Job Overview

• 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
• Passion for creating useful and intuitive data visualizations
• Experience with PyTorch or Tensor Flow
• Familiarity with IoT devices
• Experience in digital signal processing
• Experience working with customers on proprietary datasets
• Passion for applying ML to unexplored domains
• Interest in vehicle safety, autonomous driving, and/or mobility space

Please reach out to recruiting for more information