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Data Scientist, Innovation Pathways, FaBA

Dates
  • Opening Date: 02-Oct-2024
  • Closing Date: 22-Oct-2024

Location
  • St Lucia Campus

Salary
  • Base salary will be in the range $98,582.63 - $107,349.47 + 17% Superannuation (HEW Level 7)

Responsibilities
  • Engineer, prototype, validate and deploy statistical, machine learning models and analytic solutions to solve challenging problems using both R and Python.
  • Develop and conduct complex statistical analysis plans for research studies, including the application of statistical analysis techniques such as regression, text mining, topic modelling, sentiment analysis, and choice modelling.
  • Build comprehensive data repositories through the integration of individual data sets which include both primary and secondary data.
  • Engineer raw data into analysis-ready format and deploy statistical and machine learning models in the cloud to support visualisations and investigations.
  • Manage complex large-scale datasets, ensuring best-practice data governance and fulfilment of ethical obligations.
  • Develop and deploy data visualisation tools and dashboard solutions, ensuring high standards of user/customer experience.
  • Provide statistical consulting, identify data needs and work with stakeholders to identify requirements for customer insights, innovation and commercialisation.
  • Contribute to project publications including reports, scholarly and industry manuscripts and presentations.

Requirements
  • A PhD or masters qualification preferably in Data Science (or a combination of statistics and computer science), or Business, Management, and Marketing.
  • Experience and knowledge of data science approaches to drive evidence-based business decision making.
  • Experience and proficiency in collecting, investigating, manipulating and analysing complex datasets using R and Python programming languages, as well as visualisation tools such as Shiny dashboards and Plotly.
  • Advanced knowledge of statistical analysis and machine learning techniques, including natural language processing, predictive modelling, and multivariate analysis.
  • Demonstrated ability to plan, organise, and execute a diverse program of work, effectively managing projects and tasks.
  • Experience conducting research with large-scale primary and secondary datasets, contributing to industry or academic insights.
  • Excellent written communication skills, including the ability to prepare reports, papers, and submissions for industry, government, and academic audiences.
  • Strong interpersonal skills with the ability to collaborate, consult, and negotiate across different levels and disciplines.

Benefits
  • 26 weeks paid parental leave or 14 weeks paid primary caregiver leave
  • 17% superannuation contributions
  • 17.5% annual leave loading
  • Access to flexible working arrangements including hybrid working options, flexible start/finish times, purchased leave, and a condensed fortnight
  • Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family
  • UQ Study for Staff
  • On campus childcare options
  • Cheap parking (from just $5.75 a day)
  • Salary packaging options

Notes