Assistant Manager- Data Science

1 month ago

Canberra, Australia Australian Government Clean Energy Regulator Full time

Canberra Based
- Ongoing/Non-Ongoing (Non-ongoing will be offered for 12 months)
- Scheme Support Division

**About the Section**:
The Data and Innovation section supports the agency to unlock the potential of our data to drive innovation and compliance for the agency.

Specific responsibilities include:

- Support the Chief Data Officer and the agency in delivering the Data and Reporting Strategy to improve data governance.
- Support business areas to improve data transparency under the agency’s open data policy.
- Promote and facilitate sharing of scheme data across Commonwealth agencies.
- Provide a point of liaison between the Digital Services branch and business areas on the delivery of data services infrastructure under the Data Services Roadmap.
- Build agency analytics capability, and utilise data analytics and Geospatial analytics to: » Support the integrity of agency schemes by predicting, preventing and detecting non-compliance. » Provide insights and evidence to decision-makers and other stakeholders on the behaviour of our clients and the trends and outcomes in our schemes. » Identify and deliver business improvements and efficiencies.
- Support innovative approaches to reduce regulatory burden, support self-service approaches, improve efficiency and encourage compliance with our schemes - by: » Working with business areas to identify, prioritise and implement innovative approaches to scheme and participant needs or problems.
- Providing targeted skills and resources to consult on, design, build and/or roll out strategic initiatives that result in improvements to internal processes, data collection, client compliance, and communication related to scheme operations.

**Role responsibilities and duties**:

- Lead a team of data scientists while working directly with business areas to develop innovative solutions for complex regulatory questions. Develop and maintain strong working relationships with stakeholders based on professional and courteous conduct.
- Develop machine learning models to automate business processes in collaboration with the data science team, while effectively communicating those models to key stakeholders.
- Pioneer data science and analytics solutions for the agency data lake, analytics platform, and machine learning environment. Lead in upskilling the staff in data science to enhance the agency’s data maturity.
- Supervise and develop team members and build team capacity through coaching, performance feedback and encouraging career development.
- Managing tickets through Azure DevOps and conducting in daily scrum meetings, and fortnightly sync meetings across the section.

**Qualifications/experience**:

- Minimum 2 years’ work experience in data science driven programming languages, preferably R or Python.
- Experience with Azure DevOps or JIRA to manage product backlog and tasks.
- Experience with DataOps and/or DevOps Repos & Pipelines, using Github, CI/CD
- A demonstrated in-depth knowledge of data base infrastructure and cloud data solutions, preferably Azure suite (Synapse Analytics, Data Factory, Data Lake Gen2, Azure Machine Learning)
- Tertiary qualifications in data science or related fields are desired.

**Applications will close 11:30pm, 09/06/2023

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