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Combining IoT Sensor Data and Machine Learning to improve human metabolic health

Senior Data Scientist

$130k – $170k • 0.05% – 0.2%
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Twins is expanding quickly! We are looking for an experienced Data Scientist to join our Data Science team and develop ML models that analyze complex biosignal data and identify insights to improve human metabolic health.

Design and develop machine learning models to solve specific problems in the healthcare/medical domain. Perform feature engineering, apply the latest published research, and tune model hyperparameters to achieve high model performance.
Train models on large volumes of data across many different kinds of sensor signals.
Work with platform software engineers to deploy the ML models to Production and integrate them into customer-facing features on the Twins platform.
Measure model performance and continuously improve over time.
This position is based in Mountain View, CA.

Bachelor’s degree in Computer Science or Math; Masters or PhD would be a plus
Experience with building Production-quality ML models to solve real-world problems, using techniques like Deep Neural Networks, Gradient Boosting, etc.
Experience with TensorFlow, scikit-learn, or related ML frameworks. Experience developing software in Python.
Strongly desired: Experience with time-series data, sequence learning, pattern recognition, and anomaly detection, including Recurrent Neural Networks, LSTM, Attention Networks, etc.
2+ years of experience in machine learning; 4+ years in overall software engineering is preferred
Strong knowledge of linear algebra, calculus, statistics
Strong verbal communication skills; able to translate ML technology and statistics to non-ML experts
Domain experience in healthcare, biosensors, or related areas would be a plus, but is not required

Health Plans


Stock Options

Holidays and Paid Time Off


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