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
What you do
- 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
Required Skills
- 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
Nice-to-have Skills
- 3+ years of experience in Python, R, or Scala
- Passion for creating useful and intuitive data visualizations
- Experience with PyTorch or TensorFlow
- 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@revvo.ai for more information
