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Withings

Designs and sells smart health devices

Data Scientist Intern

Applied Machine LearningConfirmed live in the last 24 hours
InternshipIssy-les-Moulineaux, FranceNo salary listedIn-person

About the Job

Requirements

  • The candidate should have theoretical knowledge of signal processing and machine learning.
  • The candidate should have programming skills in Python.
  • The candidate should be able to read scientific and technical English.
  • The candidate should demonstrate writing ability, rigor, and autonomy.
  • The candidate should be able to work in a team and communicate.

Responsibilities

  • Explore and analyze real physiological datasets from users to identify relevant markers.
  • Design and develop algorithms combining signal-processing techniques, computational heuristics, machine-learning approaches, and deep learning, supervised or unsupervised.
  • Optimize algorithms for embedded implementation, potentially in C, on resource-constrained systems.
  • Help define success criteria and metrics, and evaluate algorithm performance across varied datasets.

Desired Qualifications

  • A first experience with a deep-learning framework such as PyTorch or TensorFlow is appreciated.
  • Programming in C is a bonus.
  • Interest in machine learning and connected-health applications is desired.

About the Company

Withings

Designs and sells smart health devices

Withings is a digital health technology company that designs and sells smart health devices, such as the ScanWatch, which monitor metrics like steps, sleep, heart rate, and oxygen saturation. The core product works by pairing wearable devices with a mobile app that syncs health data, providing long-term trends and insights to users. The company differentiates itself through direct-to-consumer sales with flexible payment options and a customer-friendly 30-day return policy, plus award-winning customer service and a global community of over 1 million users. Withings aims to help health-conscious individuals, athletes, and health content creators monitor and improve their health and fitness by offering an integrated hardware-and-app ecosystem that generates data-driven insights and fosters ongoing engagement.

Company size
201-500
Company stage
Series B
Total funding
$92M
Headquarters
Issy-les-Moulineaux, France
Founded
2008

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