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.

Requirements

  • 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 jobs@watcherr.com.