Data Scientist

General information

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Name Data Scientist Site / Location Melbourne Support Centre Ref # 12370908 Entity Australia Post Opening Date 20-May-2025 Suburb Richmond Work Type Permanent Full Time

Description & Requirements

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Help us deliver like never before  

 Reporting to the Data Science Manager, the role will work closely with technical and business stakeholders to transform complex problems into analytical, data science, ML and AI solutions.  This role will work across various initiatives , including but not limited to : network analysis and optimization, pricing modelling and optimization, customer analytics, forecasting and AI/ML democratisation.

They also contribute to the development of a thriving data-science/AI/ML craft at Post and support colleagues in the field to unlock business value leveraging data-enabled approaches and capabilities.

 What you’ll deliver with us 

• Providing development in one or more of the following domains (non-exclusive list) : statistical analyses and modelling, advanced analytics, optimisation of network operations, forecasting, pricing modelling and optimization, AI/ML incl. GenAI.
• Design, build, train, evaluate, deploy and monitor models from Exploration/Discovery/Experimentation to POC to production-grade (enterprise-scale).
• Advisory services to enable colleagues and the broader business to leverage data-science/AI/ML effectively.  
• Developing strong relationships with the business to inspire and deliver commercial value.
• Working with a highly skilled ML Engineering team and other teams in the enterprise
• Building the organisation’s understanding and capability in data science/AI/ML and supporting the achievement of Australia Post's vision for AI.  

Commercial & Strategic Priorities:

• Support delivery of the Data & AI Services strategic roadmap by developing solutions that provide for enhanced operations, safety or growth.  
• Translation of business problems into requirements that can be solved via data-science/AI.
• Lead the end-to-end development and delivery of data-science/AI solutions and support business adoption/ operationalisation. 

Essential Experience

Industry and Function

• Experience with delivering data science outcomes that lead to actionable and impactful outcomes.  Ideally you will have 2+ years in an industry role
• Experience utilising a variety of analytic/data-science/AI/ML approaches

• Critical thinker and strong communicator; able to evaluate and convey technical choices
• Experience in Agile or Kanban delivery methodologies
• Growth mindset
• Comfortable with ambiguity and Fail-Fast Fail-Early Fail-Smart and Rapid Prototyping
• Experience in troubleshooting Data Quality issues, with a curious and critical mindset
• Experience with conceptual modelling of business processes vs available data, and validating and refining with business with prompt and pro-active engagement, leveraging data- and hypothesis-driven approaches

Critical Knowledge

Market and Environment

• Good understanding of data-science/AI/ML trends and technological advancements, especially as they relate to enterprise use
• Commercial understanding of operations focused industry e.g. utilities, logistics etc. where data is a key differentiator or value provider
• eCommerce industry trends

Technical and/or Professional Qualifications/ Skills Required

• Degree in a relevant discipline, e.g. engineering, science, econometrics, maths, statistics etc.

• Fluent in SQL and Python

• Comfortable working with large data sets in a hyperscalar environment (GCP preferred, but equivalent experience in AWS, Azure etc OK)
• Strong understanding of end-to-end data science processes (e.g. CRISP-DM)
• Some experience with , or strong understanding of,  MLOps platforms (Vertex preferred or equivalent), including code management tools
• Experience with analytics and/or MLOps orchestration tools and frameworks (e.g. Apache Airflow, dbt, CloudComposer or similar)
• Able to visualise data using a variety of approaches
• Working understanding of process improvement & modelling techniques e.g. 80/20 rule, Lean, Six Sigma, Pareto Principle, Agile Methodology - experience with a bonus 

We’re delivering together 

At Australia Post, we acknowledge the Traditional Custodians of the land on which we operate, live and gather as employees. 

We believe our business should reflect the diverse communities we operate in and are proud to be an inclusive workplace for people from all walks of life. We encourage applications from people of all ages, genders and backgrounds including Aboriginal and Torres Strait Islander peoples, People with Disability, LGBTQIA+ and Refugees. 

We are one of the largest organisations in Australia to successfully achieve Disability Confident Recruiter status. We are committed to providing an inclusive and barrier-free recruitment process and workplace for those living with a disability and are committed to reviewing and removing bias in our processes to create a gender-equitable recruitment experience and workplace.  If you have any questions about accessibility, please contact our Diversity & Inclusion team on inclusivecareers@auspost.com.au.

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