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Data Science Expert for Wearable Technology

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Copenhagen, Copenhagen, Denmark The HubDanske Bank Full time

We are seeking a Data Science Expert to join our team at dQmetrics. As a key member of our development team, you will be responsible for developing and training algorithms for our wearable wristband that can auto-track calories consumed without manual meal registration.

Our primary algorithm uses sensor-based time-series data, and we have a working operational pipeline in place. In the beginning, the primary focus will be on developing and training a new neural net model for our calorie-prediction algorithm. Over time, we need additional algorithms to support new features and insights for users.

The ideal candidate will have experience with rapid prototyping and iterative development, as well as expertise in developing algorithms from scratch and seeing them through to production and continuous improvement. A strong understanding of math/statistics and a basic understanding of time-series data is also desirable.

About the Project

The project focuses on developing a wearable wristband that can auto-track calories consumed without manual meal registration. The wristband uses sensor-based time-series data, which is processed using machine learning algorithms to provide accurate calorie predictions.

The main objective of the project is to develop a wearable device that can make lasting weight change possible for slightly obese individuals. The project involves developing and training new algorithms to improve the accuracy of calorie predictions and providing insights for users.

Requirements

  • Experience with rapid prototyping and iterative development

  • Expertise in developing algorithms from scratch and seeing them through to production and continuous improvement

  • Strong understanding of math/statistics and a basic understanding of time-series data

  • Proficiency in Python and other programming languages

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