DATA SCIENTIST- SUPERVISED LEARNING

We are looking for a Data Scientist with experience in using a Supervised Learning approach to create and analyze a data set of accelerometer data in order to characterize the acceleration patterns into different categories. The accelerometer data is sampled and stored as Excel/ CSV values.

Once the Supervised Learning process is complete, we will need an estimate of the complexity of an algorithm written in C to implement the classification, including the size of the code running the algorithm and its memory requirements.