Sr. Data Scientist

As a member of the Machine Learning team at Pison Technology, the Data Scientist will support machine learning research and development through data collection, signal processing, data mining/analysis, and model research. Additionally, the Data Scientist will work with machine learning engineers in Pison’s production inference pipeline development, deployment, and optimization.The Data Scientist will not only collect/gather data used for training/tuning models and for performing benchmarking tests on these models to predict real-time performance, but will also have the opportunities to participate in these experiments.

***Due to the nature of our work with the United States government, candidates must be US citizens.***

This position is located in our Boston, MA office. This position would be expected to be onsite 2-3 times per week.

Duties/Responsibilities:

• Research for state-of-the-art gesture classification algorithms using IMU and biopotential sensor data with conventional ML and deep learning AI techniques
• Develop code and tools in Python to test and characterize performance and limitations of different gesture classification models
• Perform data mining and data characterization to generate metrics and methods for evaluating performance of the real-time gesture inference pipeline of the Pison gesture platform.
• Collaborate with research, cloud, firmware, and software teams to progress research and aid model deployment
• Help processing and clean up of collected sensor data taken with Pison gesture platforms
• Contribute to code reviews and mentoring of junior level team members

Required Education, Skills/Abilities and Experience:

• BS in CS or a related quantitative field. A master or Ph.D. is highly preferred
• 4+ years of industrial experience
• Deep understanding and experience with ML/AI, deep learning algorithms and development (CNN, TCN, RNN, GAN, Transformer, Transfer Learning, Novelty Detection, etc)
• Advanced knowledge of math, statistics, multivariate analysis, statistical tests
• Advanced Python coding skills
• Experience with one or more machine learning frameworks such as Tensorflow and/or PyTorch
• Understanding of numerical implementations
• Understanding of cloud computing
• Knowledge of data querying
• knowledge of EMG, EEG, ECG, IMU, CV algorithms
• Experience with C++