We’re hiring a Data Scientist, Telematics in Columbus, OH

Telematics is at the heart of our product; it’s how we develop a deeper understanding of our customers’ risks in order to competitively price our premiums. Our telematics data scientists are the minds behind the algorithms used to predict the risk of a driver. Diving into our immense pool of sensor data, they research and design new features to enhance our scoring models. They theorize new sources of information to pull from and how we can blend them with what we have, continuously improving our understanding of a driver’s risk.

Root is seeking a data scientist for our telematics team to help determine insurance pricing through the utilization of smartphone sensor data. In this role, you’ll work with time-series sensor data (especially accelerometer/gyroscope) in order to determine risky driving behavior, running these results through a series of algorithms to create our driving score. This role will be heavily involved with data acquisition, processing, and application of machine learning models, as well as pulling data from both new and familiar sources to quickly evaluate its efficacy.

What you'll do:

  • 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 (e.g. geospatial data, web scraping, cell phone sensors)
  • Building anomaly detection models to determine unexpected trends in data, issues with data quality, etc.

What you'll need:

  • 2+ years industry experience building predictive models in statistics, physical sciences, engineering, or other technical disciplines OR graduate-level research in relevant fields
  • Strong programming skills (preference of Python OR 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

What we'd prefer:

  • Experience with sensor fusion, in particular using mobile sensor data and corresponding APIs (e.g. iOS core motion/location)
  • Experience using big data tools (e.g. Hadoop, Spark) and cloud computing (AWS preferred)
  • Experience with version control (git/GitHub preferred)
  • Advanced knowledge of physics, linear algebra, probability/statistics

Get in touch

Finding the right people to help us build Root is a top priority. Whether you would like to explore the possibility of working together or simply learn more about the position, we’d love to hear from you!

Apply now
Why join Root? Because we believe the best way to move the world forward is the relentless pursuit of ideas. We build things that ought to exist, but would not exist, if we were not building them. We do this through immense dedication to our craft, an unwavering focus on our fellow human beings, and a maniacal obsession with the quality of our creations. Problems stick in our craw, and we don’t let them go until we solve them. We believe in the scientific process and know that experimentation is the best way to find truth. We don’t hold ideas down no matter how crazy they may seem. We foster them, nurture them, and unceasingly test them. If you are the kind of person that loves tackling big problems with a collaborative group of people until you find solutions, you belong here.

We believe our customers deserve insurance that is:
Fair. We lean on data, not demographic labels.
Affordable. We base rates on good driver performance.
Personal. We give our customers the power to affect their rates.
Easy. We create an intuitive experience.
Accessible. We make information clear.
Beyond. We are never, ever satisfied with the status quo.

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If you’d like to be a part of what we are building but don’t see an opening that suits you, email us at [email protected].