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.
Bachelors, Master's or PhD degree from reputed universities or institutes in one of the following disciplines:
Artificial Intelligence / Machine Learning
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
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.