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Job Description
In this position, you will be working on end-to-end data pipeline implementation from understanding research objectives, collecting data using cameras and wearable sensor technology, exploring methods of data analysis, cleaning and pre-processing of raw data, modelling data using Machine Learning/Deep Learning techniques, and sharing of insights to stakeholders using visualizations.
Our research aims to understand passengers’ sitting behaviours and preferences on a flight so as to improve their in-flight experience. Your key role includes gathering data from sensors in a cabin simulator, leveraging on predictive modelling, and providing meaningful insights. In your day-to-day, you will be working closely with engineers, design researchers, and the project manager.
Requirements
- Bachelor's or Master’s degree (preferred) in Data Science, Computer Science, Engineering, and Mathematics, Statistics or any related field
- Applied experience with statistical modelling (hypothesis testing), machine learning (supervised and unsupervised learning techniques) and modern deep learning architectures (CNNs, LSTMs).
- Experience with at least one programming language (with a preference for those commonly used in machine learning or scientific computing such as Python)
- Proficient in digital signal processing and data analysis
- Familiar with embedded coding and iOS/Android app development using Kotlin, Java, XML
- Experience exploring, analysing, and visualising data.
- Hands-on experience using PyTorch, TensorFlow, Pandas, NumPy, Sklearn, or similar machine learning/scientific libraries.
- Proficient in handling complex requirements and turn into computation logic.
- Candidate should like reading documentation and research papers.
- Able to communicate and relay Data Science solutions adequately to business stakeholders.
- Candidate should be comfortable working on multiple projects and be in a dynamic environment.
- Candidate should be able to work independently as well as be a team player.
- Candidate is required to conduct research studies.
- Must be willing and able to conduct research studies on weekends.
