Data Scientist at Pison Technology
Boston, MA 02111, USA -
Full Time


Start Date

Immediate

Expiry Date

26 Jun, 25

Salary

110.0

Posted On

26 Mar, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Cloud, Statistics, Industrial Experience, C++, Eeg, Cs

Industry

Information Technology/IT

Description

Job Summary:
As a member of the Algorithms and 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.

SKILLS/ABILITIES:

  • BS in CS or a related quantitative field.
  • 1+ years of industrial experience
  • Understanding and experience with ML/AI, deep learning algorithms and development (CNN, TCN, RNN, GAN, Transformer, Transfer Learning, Contrastive Learning, Novelty Detection, etc.)
  • Knowledge of math, statistics, multivariate analysis, statistical tests
  • Python coding skills
  • Experience with one or more machine learning frameworks such as TensorFlow and/or PyTorch
  • Understanding of numerical implementations
  • Understanding of cloud computingK
  • nowledge of data queryingknowledge of EMG, EEG, ECG, IMU, CV algorithms
  • Experience with C++
Responsibilities
  • Research for state-of-the-art neurological insights prediction, sports activity classification, and gesture classification algorithms using IMU and biopotential sensor data with conventional ML and deep learning AI techniques
  • Use code and tools in Python to test and characterize performance and limitations of different neurological insights prediction, sports activity classification, and gesture classification models
  • Perform data mining and data characterization to generate metrics and methods for evaluating performance the different algorithms and models
  • Contribute to code reviews and mentoring of junior level team members
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