1     DESCRIPTION 
We are looking for a Data Scientist to join our client‘s R&D team, a small group of scientists 
and engineers developing algorithms that help improve the health of millions around the 
globe. You will design, develop, and optimize algorithms on real-world multi-channel sensor 
data, working directly with the scientists who own the research. 
We are looking for a candidate with a strong theoretical foundation in the mathematics 
behind algorithm development, a solid background in mathematics, physics, 
electrical/biomedical engineering, or computer science, recent industry experience with 
sensor signals, and a passion for solving complex problems. 

2     RESPONSIBILITIES 

• Design, implement, and optimize algorithms for data processing, analysis, and decision
  making systems on multi-channel sensor data.
• Process raw sensor signals: filtering, denoising, windowing, FFT/spectrogram analysis, and 
  feature extraction from raw signals.
• Combine multiple sensor channels recorded in the same time window into a single model.
• Translate theoretical concepts into production-quality Python code.
• Identify, assess, and account for confounding factors in data analysis and model validation. 
  Eastgate Software 
• Confidential - for recruitment purposes only
• Own the ML pipeline end to end, from raw data to validated model, including training on 
  Google Cloud.
• Analyze algorithm performance, complexity, and numerical stability.
• Document algorithm design, assumptions, and limitations, and communicate results 
  directly with the client‘s scientists.

3     REQUIREMENTS 

• At least 4 years of experience 
• Bachelor‘s degree (BSc) in Mathematics, Computer Science, Electrical/Biomedical 
  Engineering, Physics, or a related field. 
• Strong mathematical background and the ability to independently take a problem from 
  concept to implementation.
• Solid programming skills in Python.
• Recent hands-on experience with multi-channel time-series (e.g., 20+ sensor channels in 
  the same time window) combined into a single model, with at least 2 projects in the last 24 
  months.
• Practical signal processing on raw sensor data: filtering, denoising, windowing, FFT, 
  spectrograms, feature extraction, and unsupervised feature selection.
• Solid understanding of confounding factors and proven use in real projects, including the 
  ability to identify, assess, and account for them in data analysis and ML models.
• Experience with both CNN and non-CNN architectures, including LSTM, for sequential data.
• End-to-end ownership of an ML pipeline, from raw data to validated model, including 
  training in cloud environments (Google Cloud preferred).
• Industry experience with large, noisy, real-world data (academic-only experience is not 
  sufficient). 
  Nice to have:  
• Experience working in a small R&D team (under ~15 people) or startup, collaborating 
  directly with scientists.
• Master‘s degree (or currently pursuing) in a relevant field.
• Experience with biosignals or sensor-array data.
• Familiarity with algorithm optimization for performance and scalability.
• Understanding of edge-device deployment (deployment itself is owned by MLOps).

Why you’ll love working at Eastgate:

• Attractive salary package.
• Eastgate Software is a Global Fortune 500 Preferred Vendor, so you will have an opportunity to work with many IT Experts around Europe and USA.
• Be emerged in a professional and motivating environment where you have opportunities to express your own ideas and improve your skill set through many interesting full-cycle projects.
• Flexible check in: 8:30 - 10:30AM, Monday to Friday, No Overtime (Only 8 working hours)
• Performance review and appropriate gratification: twice a year.
• 13th month salary + Project bonus + 02 probationary months with full salary
• Extra health check package per year.
• 16 leave days/year (with 12 annual leave days and 4 paid leave days for learning activities). You will be added an extra day each year and a maximum of 20 days for annual leave.
• Free snacks, video gaming & movie nights, team social and sport activities.