Current opportunities at Melbourne

RESEARCH DATA SCIENTIST

Job no: 0052013

Work type: Fixed Term

Location: Parkville

Division/Faculty: Melbourne Law School

Salary: $93,935 - $101,684 (UOM 7)

Role & Superannuation rate: Professional - Part time - 9.5% super

About Melbourne Law School:

Melbourne Law School (MLS) is Australia's first all-graduate law faculty. Melbourne Law School was the first faculty in Australia to teach law, and awarded this country's first law degrees. The Melbourne School of Government, hosted by MLS, is an interdisciplinary school at the University of Melbourne focused on the teaching and research in the areas of democracy and political leadership, public policy, and regulation and governance. 

About the role:

This data science position will be part of a multidisciplinary research team led by the Melbourne School of Government working on the Fair Day’s Work project. This is a new project funded by the Paul Ramsay Foundation, and is part of Data.Org, an international platform for partnerships to build the field of data science for social impact funded by the Rockefeller Foundation. The data scientist will play an integral role in the Fair Day’s Work project and will be responsible for leading the development of the wage theft prediction tool, while also contributing to other components of the project.

About you:

You will have a PhD or Masters in Data Science (or relevant discipline) or 4+ years of experience in developing predictive algorithms or machine learning solutions.

You will further have:

  • Extensive experience in Python, deep learning toolkits (e.g., Keras, TensorFlow, Pytorch), standard processing libraries for python data science (e.g., NumPy, SciPy, scikit-learn, pandas).
  • Experience of SQL, ‘database design and development including best-practice in data sharing and database security and maintenance. 
  • Experience in dashboarding/visualisation (either MS Power BI or Tableau).
  • Cloud computing experience, including maintenance of cloud resources.
  • Experience in data mining and developing predictive algorithms
  • Experience working with new data sources from a variety of stakeholders (including data wrangling, cleaning, pre-processing etc…).
  • Mastery of version control best practices (e.g., using GitHub, documentation).

An interest in, or a willingness to learn about, employment rights and industrial relations will be of benefit.

Indigenous Australians seeking support to apply for a vacancy are encouraged to contact the University by emailing their contact details and position number to law-hr@unimelb.edu.au

Position Description

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