Assistant Directors
6 days ago
Salary: $113,288 - $130,959 (plus 15.4% superannuation and allowances)
- Location: Adelaide, Brisbane, Canberra, Geelong, Melbourne, Perth or Sydney
- Permanent full-time and part-time positions; flexible working arrangements
The Australian Bureau of Statistics (ABS) is looking to fill** Assistant Directors (EL1)**, Methodology and Data Science Division
Successful applicants can work either full-time or part-time hours from one of our offices located in either Adelaide, Brisbane, Canberra, Geelong, Melbourne, Perth or Sydney, although a hybrid model of working from home and the office applies.
**About the role**
The key roles and responsibilities of an EL1 in the Methodology and Data Science division include:
- Leading and managing a portfolio of methodological work, under limited supervision from their Director, and providing important methodological advice and assistance to other parts of the ABS
- Leading and managing a small team of mathematical statisticians and/or data scientists (typically 3-5 staff, some of whom may be located in other offices) to deliver an annual program of work;
- Supervising, developing or mentoring staff to ensure they have the necessary capability to deliver high quality methodological solutions
- Developing and maintaining strong collaborative working relationships with a range of clients and stakeholders;
- Undertaking complex analytical tasks, research projects and empirical studies, and producing timely, and statistically sound solutions, technical reports and client briefings
- Presenting the results of methodological work to internal and external audiences in meetings, seminars, and conferences
**What we are looking for (selection criteria)**
To be suitable you should have most or all of the following skills, qualities and experience:
- A strong understanding of one or more of the following areas with extensive practical experience:
a. survey design, sampling, statistical editing and imputation, estimation and quality assessment methods
b. statistical disclosure control
c. experimental design
d. analytical methods such as time series analysis, statistical modelling, predictive analysis, Bayesian inference, pattern recognition, and data visualisation
e. data integration and methods supporting statistical production with multiple data sources
f. advanced data science techniques and practices such as AI / machine learning, graph theory, natural language processing, knowledge discovery, and agent-based models
h. statistical computing languages (such as R, Python, SAS, and Stata)
- High proficiency in planning and managing work outputs and the ability to deliver quality, customer-focused outcomes within a dynamic and complex environment.
- Strong conceptual thinking skills, and the ability to identify problems, assess their significance, explore possible scenarios, and develop innovative solutions.
- Proven ability to work effectively and supervise staff in a multidisciplinary and geographically distributed team, and to supervise and/or develop specialist staff in a high-performance culture.
- Strong verbal and written communication skills including the ability to convey complex and sensitive information and work collaboratively with a range of clients and stakeholders.
**How to apply**
You will need to upload your current resume, provide referee details and respond to the following:
In no more than **500 words**, provide a statement of claims of how you have demonstrated the skills, qualities, and experience (outlined in Section 1 of the
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