
Lead Data Scientist
2 weeks ago
- 12 month engagement + extensions
- Locations: ACT, NSW, VIC
- Ability to obtain a security clearance
- Candidate must be an Australian citizen
The Role
The role requires providing leadership, control, planning, resource management, performance management and decision making for the team membership and assigned contractors working within the work area.
Key duties and responsibilities
- Overseeing, leading, managing, and taking responsibility for deliverables of data analysis, policy proposal briefs, and key stakeholder management as the assistant director
- Producing and communicating detailed technical, professional, and policy advice on complex problems to internal and external stakeholders
- Researching and implementing innovative techniques and interdisciplinary methods to solve business issues
- Designing statistical, mathematical, and various data science models to conduct analytical work that addresses business issues, initiatives, and the development of new products
- Collaborating across teams, building relationships with stakeholders, including Agency Policy Branch, Home and Living, Legal teams, Service Design, Office of CIO, etc.
- Communicating effectively verbally and in writing, and presenting the outcomes of work undertaken, tailored to context and stakeholders
Essential criteria
- Extensive data analytics/data science experience supporting government policy development, with some exposure to government processes (budget, legislation, policy development, briefs / documents)
- Very experienced with complex internal or external stakeholder engagement and management and demonstrated experience with leadership/team management
- Advanced R & Python programming skills including data manipulation, analysis and model development/deployment
- Proficient in SQL, accessing databases and data storage systems (e.g AWS S3)
- Experience with version control systems, i.e. git
- Strong understanding of advanced modelling techniques and how they fit in a policy landscape
Desirable criteria
- Proficient understanding of statistical modelling techniques such as Generalised Linear Modelling, or tabular machine learning techniques such as gradient boosting, and how they are used in application
- Extensive experience in applying technical skills to solve open-ended and evolving business problems
How to apply:
Please hit the apply button or for more information contact Anne from Randstad Digital on
At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
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