Are you passionate about unravelling the underlying process powering big data? Do you enjoy managing the scale of big data against the accuracy of the machine learning algorithms? Do you enjoy translating the chirping of data into the language of mathematical modelling and optimization? How do you know if your model is experiencing gradual drift and requires a refresh? Can you build ML models that can learn incrementally yet maintaining unprecedented accuracy? How do we resolve performance hot spots in big data environment? Finally, are you ready to work in a fast-paced environment balancing priority between short and long-term commitments? Well, if you have read up to this, Bayestree is the right institution for you!

Bayestree is looking for an exceptional data scientist with 10+ years’ experience and passion for the following or related areas:

  1. a PhD or equivalent experience in the area of Machine Learning
  2. Exceptionally proficient in Big Data Platform such as Spark, H2O.
  3. Highly proficient in using any of the big data languages.
  4. Highly proficient in any of the ML modelling languages such as R, Python.
  5. Excellent knowledge in the theory of Machine Learning such as Supervised/Unsupervised Learning, Regularization, Deep Learning, CNN, RNN, LSTM, Conversational Q&A techniques including metrics for algorithmic performance evaluation.
  6. Text Mining, Topic Modelling.