Remote | Senior Data Scientist (Time-Series & Sensor Signals)

Company Description
Founded in 2014, Eastgate Software is a software development company that builds custom business solutions and applications. We are proud of our high-qualified staff who has more than 20 years of experience in software development including web, mobile and desktop applications.We put quality and customer satisfactions at the top priority in every project we carry. Therefore, our German and US senior experts offer local consultancy for European and US clients.
As a member of Eastgate, you will be emerged in a professional and flexible environment where you have opportunities to express your own ideas and improve your skill set through many interesting full-cycle projects.
We are looking for a Data Scientist to join our client's healthcare R&D team, building algorithms on real-world multi-channel sensor data.
Role Description
Level: Middle - Senior (5+ years of experience)
Working model: Remote (with EGS Watch installed)
Candidate preference: Hanoi-based candidates preferred
Duration: 3 months initially, extendable
Expected start date: ASAP
Working hours: 8 hours/day within 10AM - 8PM (VNT)
English: Spoken C1; Written B2+
Responsibilities
Design and optimize algorithms on multi-channel sensor data, combining many channels into a single model.
Process raw signals: filtering, denoising, FFT/spectrograms, and feature extraction.
Identify and account for confounding factors in analysis and model validation.
Own the ML pipeline end to end, including training on Google Cloud.
Requirements
BSc in Mathematics, Computer Science, Electrical/Biomedical Engineering, Physics, or a related field, with a strong mathematical background.
Solid Python skills.
At least 2 projects in the last 24 months on multi-channel time-series or sensor data.
Hands-on signal processing and unsupervised feature selection.
Proven use of confounding factors in real projects.
Experience with CNN, non-CNN, and LSTM models for sequential data.
Industry experience with large, noisy, real-world data (academic-only is not sufficient).
Nice to Have
Experience in a small R&D team or startup.
Master's degree in a relevant field.
Experience with biosignals or edge-device deployment.