Lead Data Scientist
Are you a highly skilled data professional passionate about using sophisticated quantitative techniques to drive national impact?
We are looking for two Lead Data Scientists to join a high-performing, multidisciplinary team dedicated to analysing large-scale administrative datasets. This is a unique opportunity to use your expertise in economic modeling and advanced coding to provide insights that shape the future of the Australian workforce.
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If you thrive in a collaborative environment and enjoy tackling complex research questions, we want to hear from you.
What You Will Do:
Analyse large-scale administrative datasets using advanced coding skills to support an extensive research program.
Conduct sophisticated quantitative research and high-level economic and labour market analysis.
Lead project milestones by managing competing priorities and delivering high-quality statistical report inputs and briefing materials.
Collaborate with diverse stakeholders, including academics and economists, to gather intelligence and provide expert advice.
Build team capability through coaching, providing performance feedback, and mentoring other team members.
What You Need to Apply for This Role:
Essential Post-Graduate qualifications in a relevant discipline such as Economics, Econometrics, or Data Science.
Expertise in R or Python coding, along with experience using GitHub, Azure (Databricks/Datalake), and Posit.
Advanced technical knowledge in labour market analysis, economic modeling, and Bayesian inference.
Proven experience with Australian Government datasets (such as PLIDA) and multilevel modelling frameworks.
Strong understanding of data infrastructure, including metadata, data standards, and data requirements.
Reach out to shauna.lawlor@randstaddigital.com.au or apply directly below.
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.