Data Scientist - 05/12/21

Location: Kitchener, ON

*** Mention DataYoshi when applying ***

Acerta’s machine learning platforms leverage automotive assembly and vehicle data to detect the earliest indicators of future product failures. We help automakers optimize quality, safety, and reliability throughout the entire product life cycle, from the assembly line to the finish line.

As an integral part of the data science team at Acerta, you will productize, deploy, maintain, and monitor machine learning models running behind Acerta’s LinePulse and AutoPulse products. Our LinePulse SaaS platform enables automakers to identify anomalies in production data for enhanced testing, accelerated root cause analysis, and improved manufacturing output. Acerta’s AutoPulse SaaS platform enables predictive maintenance of connected and autonomous vehicles based on production, maintenance, and on-road data.


  • Minimum of 3 - 5 years of data science experience using python
  • Strong ML and statistics background
  • 2+ years of software development experience
  • Experience with keras, tensorflow, and sklearn.
  • Experience with time-series and operations data is an asset
  • Previous Kaggle experience or similar is a plus
  • Ability to work in a fast-paced agile environment
  • Experience using Git in a team environment
  • Flexibility to adjust to changing priorities, requirements, and schedules
  • Familiarity with working on remote linux instances
  • Available in office full-time (KW)


  • Own significant product requirements and drive them from development to deployment
  • Tune and monitor machine learning models deployed for customers.
  • Research and apply state of the art in model interpretation and explainability
  • Package development in Acerta’s Codebase

We thank all applicants for their interest; only those candidates selected for an interview will be contacted.

Acerta is committed to fostering a diverse and inclusive workplace. We strongly encourage applicants from all backgrounds and walks of life.

*** Mention DataYoshi when applying ***

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