Data Science

Job Description for Data Science Engineer:Job location : Melbourne / SydneyNeed a skilled resource to:• Ingest data from multiple systems• Collate, clean, and manipulate the data• Prepare data objects aligned to the Data Science team requirements• Optimize data processing and identify bottlenecks in data processingMust-Have Skills & Experience:• 5+ years in data engineering or enterprise data roles• Strong experience with AWS, SQL, and Python• Experience with MLOps• Experience with SageMaker, model scoring, real-time batch monitoring• Proven ability to ingest and manipulate data from multiple sources• Excellent communication and stakeholder engagement skills• This is a hands-on role requiring deep technical expertise and the ability to work independently while collaborating closely with stakeholders.Key Responsibilities• Design and implement ETL pipelines and data integration solutions• Ingest and transform data from diverse systems for Data Science Squad• Collaborate with the Data Science team to understand data requirements including recommendations on the best approach• Develop and maintain Propensity Models for production• Deploy, monitor, and manage machine learning (ML) models• Maintain high standards of data governance and quality• Support the Data Hub’s broader initiatives and compliance obligations