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The role involves managing AI and GenAI data science projects, coaching teams, and utilizing advanced analytics to drive client success.
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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.
Duties/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
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++
Pison Boston, Massachusetts, USA Office
179 South St, Boston, MA, United States, 02111
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories