Data Scientist

Watcherr is looking to hire a Data Scientist with a background in time series sensor data analysis, supervised and unsupervised machine learning and at least some background in ‘Bayesian statistics’ or ‘Bayesian probability’.

About the role

As a candidate you would not need to be super high level by any means. If you have worked on e.g. only time series analysis and some Bayesian stats with a coding background then that would be ok. Main duties would be, depending on the candidate, either assisting with activity detection or with analysis of user behaviour patterns for disease detection.


  • Computer science, applied mathematics or similar technical background (e.g. physics).
  • Experience writing code for data applications. ‘Python’ is essential (but they do not need to be at a super high level as a coder).
  • Good understanding / knowledge of ‘Bayesian statistics’.

Would also be nice if you have…

  • C/C++ proficiency.
  • Proficiency with SQL and/or NoSQL databases.
  • Time series statistical model analysis (e.g. ‘ARMA’/’ARIMA’ and related).
  • Machine learning time series analysis (for example ‘Hidden Markov Models’ or ‘Recurrent Neural Networks’).
  • Experience with modern deep learning techniques including ‘transformer networks’.
  • ‘Digital signal processing’ experience e.g. ‘fourier transforms’.

Please do not apply if you…

  • Are a generic ‘deep learning’ or ‘machine learning’ person, although it would depend on what you have worked on in the past. E.g. ‘image classification’ is a big part of deep learning but not very useful for this role.
  • Have ‘NLP’ (Natural Language Processing) as your focus.
  • Are a generic statistician.
  • Are a pure mathematician, or an applied mathematician without coding experience.

How to apply

Please send your application, including your CV and a cover letter explaining a bit about yourself and why you’re suitable for this position, directly to