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DATA Scientist


séparation
Publiée le 20/03 par Universe Technology Recruitment Limited

Lieu : Grenoble (38)
Durée : 6 mois (renouvelable)
Tarif : Selon profils
Début : Asap
Universe Technology Recruitment Limited


Description :



Responsibilities

Leverage semi-supervised deep learning techniques to assess and predict well-being from heart rate and motion data collected by wearables
Design end-to-end deep learning algorithms and build robust data pipelines to handle noisy, sparse and partially labeled heart rate and motion time series
Research solutions from the latest literature and stay on the cutting edge of AI time series research
Participate in the collection of heart rate and motion data
Influence the way we use wearable data to increase our well-being

Requirements

PhD in Artificial Intelligence, Applied Mathematics or related field in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Engineering) or evidence of exceptional ability in related fields
Strong passion and curiosity for Data Science
Strong fundamentals and intuition applied to Deep Learning
Proficient programming skills (Python)
Experience in using Deep Learning libraries such as TensorFlow
Experience and interest in data visualization techniques
You are insightful and you can think outside the box
Excellent communication skills (English)

Desired skills

Familiarity with Cloud Computing (e.g. Google Cloud Platform)
Familiarity with Big Data technologies (e.g. BigQuery, Cloud ML)
Knowledge of Linux and containerization (e.g. Docker)
Interest in performance optimization

If you see yourself in this mission, please send me your updated resume , rate and 2 references.

English is a must.



  Pour postuler à cette mission

Référence à rappeler : JOB - ANK 434435 - GRE



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