Senior Data Scientist

  • Australia
  • Brisbane
  • Permanent
  • Negotiable

We are seeking a highly motivated and experienced Senior Data Scientist to join a dynamic team. In this role, you will be instrumental in developing, implementing, and maintaining data science solutions across corporate and operational functions. You will leverage your expertise and the internal Modelling Platform- a suite of Azure AI services, Azure Machine Learning (ML), and Azure Kubernetes Service (AKS)-to solve complex business challenges and drive innovation.

Key Responsibilities:

  • Collaborate with stakeholders, business analysts, and technical teams to integrate new models onto the SMP.
  • Develop, deploy, and maintain machine learning models using Azure Machine Learning services.
  • Monitor model performance and drift, proactively addressing scalability, reliability, and efficiency issues within the Azure environment.
  • Automate model monitoring, drift, logging, and error handling using Azure monitoring services.
  • Provide recommendations to the business on data science and model operations best practices.
  • Design and maintain Azure Pipelines for model training, evaluation, and deployment.
  • Stay up to date with the latest developments in Azure AI offerings and related technologies, ensuring best practices are shared across teams.

Skills and Experience:

  • At least 5 years of experience as a Data Scientist.
  • Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Data Science, or a related field.
  • Proven experience in implementing machine learning solutions on Azure, including Azure AI services and Azure Machine Learning (ML).
  • Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Proven experience with Natural Language Processing (NLP) and domain-specific AI techniques such as supervised and unsupervised learning and Neural Networks (NN).
  • Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Experience working within data governance frameworks to maintain data integrity, security, and quality.
  • Familiarity with Azure ML SDK, Azure DevOps, and CI/CD pipelines (preferred).
  • Experience in an Agile environment (preferred).

To be considered for this role please click apply now or contact David Reynold’s or Tom Circosta on 07 3221 3333.

Apply now

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