Address- ASPI is looking for a high-performing individual to join our Cyber, Technology & Security Program as a Data Scientist
- ASPI is one of the Indo-Pacific's top performing and most influential think tanks
- Join a progressive organisation with a vibrant organisational culture
ASPI is an independent, non-partisan think tank that produces expert and timely advice for strategic, defence and policy leaders and decision makers. ASPI is one of the most authoritative and widely quoted contributors to public discussion of strategic policy issues in the Indo-Pacific region and a recognised Australian voice in international discussion on defence, strategic, national security, cyber, critical technology, climate, and foreign interference issues.
ASPI Cyber, Technology and Security is a dynamic research team focused on delivering high-quality analysis and insights. Collecting and analysing open-source data is an important research tool for us.
As we expand our research, we are looking for a skilled Data Scientist to join our team and provide researchers and analysts with technical support in extracting, categorising, analysing, and visualising open-source data.
About the Role
ASPI is looking for an inquisitive and problem-solving open-source Data Scientist who will be responsible for developing and implementing automated techniques for a variety of open-source data collection requirements.
Your work will directly contribute to ASPI publications, including research reports, public-facing databases (such as techtracker.aspi.org.au) and high-level dialogues.
We are open to experienced Data Scientists and those beginning their career. Role equivalency would be between levels 3 - 7 of Data Science category of SFIA 8.
Also see Australian Skills Classification - Data Scientist for an occupation profile .
The key duties of the position include
Duty Statement
As a Data Scientist, you will:
- Propose, create and deliver innovative data science analysis on topics in cyber, technology and security.
- Identify, create, manage, and optimise databases, ensure data integrity and accessibility.
- Apply data visualisation techniques to represent findings clearly and compellingly, aiding in the analysis and presentation of insights.
- Work with analysts and deliver tailored solutions to data collection requirements for research objectives.
