Hudson

Staff Data Scientist (leadership position)

Job description

This is a rare and exciting opportunity for a Sr. Data Scientists with leadership expereince 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

Requirements

  • 7+ years of hands-on experience in machine learning
  • 7+ years of experience with general purpose programming languages e.g., Python, C/C++, Java
  • Key requirement: 2+ years of hands-on experience in resource optimization and reinforcement learning techniques such as Thompson Sampling, Upper Confidence Bound algorithms, and other solution approaches to the MAB class of problems
  • Key requirement: Strong understanding and exposure to the Multi-Armed Bandit (MAB) problem and its variants (e.g., contextual MAB, dueling MAB, adversarial MAB, combinatorial MAB, etc.)
  • Strong understanding of problems in the ad optimization and personalization space
  • Exposure to machine learning platforms such as TensorFlow, TensorFlow Extended, PyTorch
  • Good to have experience building and deploying machine learning models on the Cloud (Google Cloud, Azure, AWS)
  • Good to have experience with production architecture of machine learning systems
  • Excellent communication skills
  • Ability to collaborate cross-functionally
  • Good presentation skills
  • Attention to detail

Responsibilities

  • Implement machine learning models into the products and offerings through collaborate with the Engineering and Product teams.
  • Lead a small team of data scientists. Be responsible for implementing the machine learning models, testing them, refining them, and taking them to production for our ad optimization and personalization product/offering.
  • Collaborate with other teams in the Data Science Group to review and refine your work to ensure the highest quality
  • Collaborate with the product owners and the data science leadership to chart the AI vision for ad optimization and personalization.

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