Principal Data Scientist

🔍 Beaverton, Oregon, United States

📁: Advanced Innovation

📅   : 436 Total Views

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WHAT YOU BRING
Required Education/Experience:

- PhD or Masters in a quantitative field (statistics, computer science, electrical/biomedical engineering, economics or similar) or equivalent practical experience

- 7+ years, after PhD, or 9+ years, after Masters, demonstrated experience in data science including expertise in data synthesis, machine learning, statistical modeling, causal inference, or signal processing

- Demonstrated expertise with Python and/or Matlab, machine learning and deep learning frameworks like Scikit-learn, TensorFlow, Keras, PyTorch

- Demonstrable ability to define, initiate and supervise analytics and modeling efforts

- Demonstrable ability to translate business needs into requirements and strategy for research teams

- Demonstrable ability to interpret, and implement methods described in research papers and articles in signal processing, machine learning, deep learning, mathematical modeling and related fields

- Good interpersonal and communication skills, with demonstrable experience communicating technical information in written and verbal formats

DESIRED:
- Experience with AWS suite, Spark, Databricks, SQL

- Experience with adaptive experimentation and A/B testing, bandit optimization, causal inference, time-series analysis, predictive modeling, forecasting and other approaches

- Understanding and working knowledge of cardiovascular physiology, biomechanics, perception science or related fields

- Experience with bio-signals, wearables, inertial measurements

- Peer-reviewed machine-learning publications, or other examples (Github, apps, products)

- Experience leading or leading team of data scientists, engineers in a research or product setting