Data Scientist, Telematics

  • 34836
  • Non-Life - Data Science
  • |
  • Ohio, United States
  • |
  • Mar 8, 2019
  • Improving our telematics algorithms:
  • inferring brakes, turns, and distracted driving from sensor data / distinguishing driver from passenger and other modes of transit / other new and interesting features predictive of driving risk.
  • Identifying, evaluating, and productionizing new data sources.
  • Building anomaly detection models to determine unexpected trends in data, issues with data quality, etc.
  • Strong programming skills, especially Python and R.
  • Advanced background in signal processing, including sensor data, time series methods, filtering, etc.
  • Experience with at least some of the following: geospatial data tools, web scraping, merging with large external data sources.
  • Demonstrated experience in building, validating, and leveraging machine learning models
  • 2+ years of industry experience building predictive models OR graduate-level research in a relevant area to telematics
  • Preferred:
  • Master's degree or Ph.D. in mathematics, physical sciences, engineering, or other technical discipline.
  • Experience with sensor fusion, in particular using mobile sensor data and corresponding APIs.
  • 3+ years of industry experience building predictive models.
  • Experience using big data tools and cloud computing.
  • Experience with version control.
  • Advanced knowledge of physics, linear algebra, probability/statistics.