Energy and Climate Insights and Digital; Procurement Policy; Procurement Brisbane City Join the department as a Principal Data Scientist and be a part of a dynamic workplace where every day brings new challenges and exciting opportunities. This role provides an exciting opportunity for a valuable team member to join the Procurement division in working as part of a team of analysts in the Insights and Digital Unit, providing analysis at both the strategic and operational levels.They will undertake data acquisition and will design, build, operationalise, secure and monitor data pipelines and data stores. In addition to this they will apply data mining and predictive modelling techniques to gain insights, predict behaviours and generate value from data. The role will display concepts, ideas, and facts using graphical representations in reports and dashboards for Queensland Government Procurement management for reporting at executive, Ministerial and Parliamentary levels. Job details Position status: Fixed Term Temporary Position type: Flexible full-time Occupational group: IT & Telecommunications Classification: AO7 Workplace Location: Brisbane Job ad reference: QLD/606110/24 Closing date: 10-Dec-2024 Yearly salary: $129089 - $138273 Fortnightly salary: $4948.00 - $5300.00 Job duration: Until 06/06/2025 with possible extension Join the department as a Principal Data Scientist and be part of a team that is making a difference and creating a lasting legacy. Our department is playing a significant role in Queensland's future. As a Principal Data Scientist in the Data and Analytics team, you'll be responsible for working as part of a team of analysts in the Insights and Digital Unit, providing analysis at both the strategic and operational levels. At DEC, our people are our strength, and we pride ourselves on a positive culture that values and respects the diversity of our team. In this role, you'll be part of a diverse and talented team. Here's what we're looking for: Demonstrated expertise and experience in the following technology domains to analyse, provide technical direction, standardisation, professional advice: Database: Microsoft SQL Server or other associated DB technologies Strong understanding of Azure cloud based services specifically around Azure Data Factory and Azure Machine Learning suite. Data Engineering and Data Modelling Development languages such as SQL, Power Shell, Python or other languages used in Azure environments Proven ability to analyse business and system problems and develop innovative solutions with strong focus on delivering high quality client services and outcomes. Demonstrated ability to plan, design, implement and deliver the development of complex data science solutions ensuring that solutions balance functional and nonfunctional requirements. Demonstrated knowledge in the application of data structures and associated components, data standards and architectures including security and compliance. Demonstrated skills and knowledge in the implementation of data science designs that support demands for advanced data analytics with the ability to solicit a detailed understanding of requirements. QGP use the Skills Framework for the Information Age (SFIA). The skills required for this role are as follows: DENG 5 DTAN 4 DBDS 4 As part of this role, you will: Lead the provision of business intelligence, reporting and analysis to support decision making at whole of government, category portfolio and agency level. Lead the design of a repeatable high-quality data integration and categorisation process for procurement information across Queensland Government's finance systems using strong technical and design skills. Lead the research, analysis and interpretation of data sourced from systems as required to find solutions to business issues applying statistical, mathematical, analytical, problem-solving and evaluation. Lead maintenance and managing improvements to the whole of government procurement machine learning capabilities, including strong technical skills data engineering process, database structures, machine learning building in the Microsoft Azure stack (data factory, SQL Server, Azure machine learning studio etc). Lead the development and documentation of conceptual and logical data flows in support of category management. Set up ongoing operational machine learning models. Manage individual performance and proactively guide the performance and development of all team members, addressing concerns in a timely and appropriate manner. Join our team and be part of our legacy. We celebrate diversity and invite applications from all backgrounds. For further information about this exciting opportunity, please see the attached role description. Applications to remain current for 12 months. Job Ad Reference: QLD/606110/24 Closing Date: Tuesday, 10 December 2024 Further information We are committed to building inclusive cultures in the Queensland public sector that respect and promote human rights and diversity. Please ensure you download all attachments and follow the instructions on how to apply. #J-18808-Ljbffr