Quantitative Economist and Data Scientist

1 day ago

Brisbane, Queensland, Australia beBeeAcademic Full time $140,415 - $161,809
Job Description

We are seeking a talented academic to lead the development of courses in economics, econometrics, and business statistics.

The successful candidate will have expertise in applying advanced analytics to real-world problems and experience designing curriculum that makes quantitative content accessible, engaging, and relevant for diverse business students.

This role involves leading the redevelopment of courses while shaping new programs in Business Analytics and Decision Science. You will play a key role in integrating advanced tools into teaching and research, connecting quantitative thinking with areas like sustainable business, digital innovation, and smart systems.

  • Teaching Responsibilities:
  • Design and deliver engaging courses, support student success, and contribute to a culture of teaching excellence;
  • Research Responsibilities:
  • Publish in top journals, secure funding, and supervise HDR students to advance knowledge and real-world outcomes;
  • School Responsibilities:
  • Support School and University development, including maintaining accreditation and shaping future directions;
  • Industry Partnerships:
  • Build strong industry partnerships that enhance learning and create meaningful impact.
Required Skills and Qualifications

You Will Possess:

  • A PhD in quantitative economics, econometrics, or a related field, with a strong focus on applying advanced analytics to real-world problems;
  • Proficiency with statistical and analytical tools such as Python, R, Stata, or SAS, and experience with cloud-based platforms and visualisation tools like Power BI or Tableau;
  • Expertise in advanced quantitative methods, including econometrics, causal inference, data science, or machine learning, applied in complex, data-rich contexts;
  • Experience designing curriculum that makes quantitative content accessible, engaging, and relevant for diverse business students;
  • A track record of innovation in teaching large undergraduate subjects using inclusive, digitally enhanced approaches;
  • Strong research output in top-tier journals (ABDC A or above), with experience leading data-driven, applied projects;
  • Understanding of AI and machine learning in business and economics, and ability to embed this into teaching and research;
  • Experience supervising HDR students in quantitative or data-intensive fields;
  • A collaborative, inclusive leadership style that contributes to high-performing academic teams.
Desirable Qualifications

We'd also value:

  • Qualifications or recognition in tertiary teaching;
  • Additional study in statistics, mathematics, decision science, AI, or machine learning;
  • Certifications in relevant programming or modelling tools;
  • Experience with large-scale data analysis using GPU-based or cloud computing;
  • Strength in designing online and asynchronous learning experiences.

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