Are you interested in helping people become better drivers and saving lives? Cambridge Mobile Telematics (CMT) makes roads safer by helping drivers improve.
At CMT, a Data Scientist has the opportunity to work on an extremely wide variety of technical areas. We collect high-volume, high-velocity data generated from smartphone and IoT sensors in vehicles. We clean, normalize and fuse multiple data sources using time series signal processing techniques, handing noise, censoring, and non-uniform sampling. Next, we determine which behaviors might indicate risky driving, using robust statistical analyses and feature engineering. We estimate driving risk using GLMs, neural nets and other ML regressors. Finally, given the risk estimate, we determine how we can most effectively help drivers modify and improve their driving by performing experiments and mining data.
As a Data Scientist, you are expected to read, write and test high quality Python code that will run in a production environment. Familiarity with standard Python libraries (scipy/numpy/pandas) is essential.
Cambridge Mobile Telematics' (CMT) mission is to make the worlds roads and drivers safer. Since its first product launch in 2012 that pioneered mobile usage-based insurance, CMT has become the worlds leading telematics and analytics provider for insurers, rideshares, and fleets. CMTs DriveWell platform uses mobile sensing and behavioral science to measure driving risk and incentivize safer driving, while its Claims Studio reduces the claims cycle time with real-time crash detection, crash reconstruction, and damage assessment using telematics and artificial intelligence. CMT has over 50 active programs with insurers and other partners, improving safety for millions of drivers every day around the world. Started based on research at MIT and backed by the SoftBank Vision Fund to fuel its rapid growth, CMT is headquartered in Cambridge MA. To learn more, visit www.cmtelematics.com and follow CMT on
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Cambridge Mobile Telematics