Senior Data Scientist (3 positions available!)

Job description

This is a rare and exciting opportunity for 3 Sr. Data Scientists to join a Global Tech Company to help build their Australian Centre of Excellence and be part of a global team of over 40 Data Scientists. The company is Adelaide based, but they are open to receiving applications from top talent all over Australia.

Educational Qualifications:

Bachelors, Master's or PhD degree from reputed universities or institutes in one of the following disciplines:

  • Artificial Intelligence / Machine Learning
  • Cognitive Computing
  • Computational Linguistics
  • Computer Science
  • Data Science


  • 4+ years of hands-on experience in machine learning
  • 4+ years of experience with general purpose programming languages e.g., Python, C/C++, Java
  • Experience in various deep learning models, e.g., transformers, LSTMs, RNNs
  • Experience in solving problems related to Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG)
  • Experience building and deploying machine learning models on the Cloud (Google Cloud, Azure, AWS)
  • Experience with machine learning platforms such as TensorFlow, TensorFlow Extended, PyTorch
  • Experience with production architecture of machine learning systems
  • Good to have exposure to conversational AI, AI-based question-answering systems, AI-based compliance and monitoring systems, and ad penalisation
  • Good to have exposure to MLOps pipelines and Kubeflow
  • Excellent communication skills
  • Ability to collaborate cross-functionally
  • Good presentation skills
  • Attention to detail


  • Implement machine learning models into the products and offerings through collaborate with the Engineering and Product teams.
  • Implementing, testing, refining and take to production of machine learning models.
  • Review and refine your work to ensure the highest quality by collaborate within the Data Science Group
  • End-to-end ownership of AI initiatives
  • Proactively discuss ideas for feature enhancements with the data science leadership and product leadership

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