About

Our federal government client’s role has grown to meet the needs of a modern and dynamic Australia. Today they are not only the Australian government’s principal revenue agency, they are also a large payer of government funds.

Duties

  • Utilise data science techniques and experimental methods independently
  • Develop technological solutions to achieve business outcomes
  • Develop, enhance and maintain a range of mathematical models to monitor demand and analyse behaviour.
  • Provide technical knowledge and expertise in reducing vast and disparate data sets into categorised and useful summaries and reports
  • Manipulate and analyse big data from disparate systems
  • Work with a cross functional team of data scientists, data analysts, report developers and engineers
  • Move Proof-of-Concept models/products to production for clients.

Qualifications/Experience Required

  • Qualifications in Computer Science, Mathematics, Statistics or other relevant disciplines.
  • Strong practical experience (preferably 5+ years’ experience) across one or more data science areas such as machine learning, natural language processing, graph analytics, behavioural analytics and visualisation.
  • Strong data cleaning and analysis skills, and experience in devising testing methods.
  • Demonstrated knowledge and experience with a diversity of programming languages such as R (experience in Shiny will be a bonus) and Python.
  • Professional commitment and skills of maintaining code quality.
  • Familiarity with the Hadoop and Spark ecosystem, and experienced in Scala, PySpark and HiveSQL.

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