Data Scientist, ASIO

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Data Scientist, ASIO 2016-10-15T05:47:55+00:00

Project Description

Data Scientist (Investigative Data Analyst/Technical Data Analyst) Canberra/Sydney
Job Type: Technical & Engineering
Location: Various
Category: Ongoing – Permanent
Job Reference: 12120152016
Salary: $NEG
Closing Date: 19-Jun-2016
Description: Intelligence agencies are undergoing a period of rapid change as the tempo and complexity of security threats increase. At the heart of this change is technology. In responding to the challenge, ASIO is looking to bolster our Data Science teams in Sydney and Canberra.

There are a range of people and technology skills we are interested in. They include Big Data infrastructure people to help optimise, maintain and manage our Big Data tools; and Data Scientists who are looking for complex challenges and willing to push the boundaries of their skills to provide insights into difficult problems. Data Scientist will need to have IT programming skills in languages like R, Python, Ruby and C. Uncool languages like Java and C-sharp are fine too.

Employment as an AEE6 would require a desire and passion to deploy those IT skills to data problems. At the EL1 level would require demonstrated experience in having done so at an advanced level.

Those afraid of maths need not apply, but you don’t need a deep maths background. If you do happen to be a maths whiz then we’ve got some great problems for you.

You can expect to work in a dynamic and changing environment with like-minded peers who will guide and assist you, but also listen and learn from your ideas. You will have the freedom to innovate to solve complex security problems, all of which have real world implications. Your success will depend on the quality of the ideas and the work you contribute. The problems you solve, solutions you create and work you do will all contribute to making a difference.

Successful applicants may be eligible for studies assistance, flexible working arrangements and generous leave provisions.

Closing date: Sunday 19 June 2016

Eligibility: To be eligible for this diverse and interesting role you must have:

Required:
– Australian Citizenship.
– A demonstrated ability in complex data analysis and ideally a tertiary qualification in a discipline that requires data analysis (eg. Data science, computer science, mathematics, statistics, economics, operations research, computational social science, quantitative finance, engineering).
– Experience in the analysis and exploitation of data to support decision-making.

Desirable:
– Specialised knowledge in areas such as data mining, statistics, financial or geospatial analysis.
– Post graduate qualifications in data science or statistics.
– Experience in the exploitation of data in support of intelligence, security or law enforcement.

Enquiries: Further enquiries can be made by contacting Recruitment on 6257 4916.

How to Apply: Click on Apply Online below to submit your Expression of Interest and CV.

Working conditions: Employment is under the ASIO Act 1979. Conditions are similar to those applying in the Australian Public Service. Salary packaging arrangements are available.

ASIO thanks all applicants for their interest in applying.

All employment decisions and selection processes within ASIO are based on merit principles. The duties of the appointment require a national security clearance. Preferred candidates must be assessed as suitable to hold a high level national security clearance and will be required to undergo psychological assessment and intrusive security and personal checking/assessment.

The selection period is lengthy and candidates must be prepared to undergo various stages over an extended period of time.

In accordance with ASIO policy, no feedback on any aspect of the selection process or security vetting assessment will be provided to unsuccessful applicants.

ASIO holds all applications in the strictest of confidence and we ask that you please employ the same level of confidentiality, for the safety and security of all current and future ASIO employees.

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