Data Scientist

⁠⁠⁠Who we are:

In late 2020, as part of Busting Congestion for Agricultural Exporters the Trade Reform and Digital Trade Initiatives divisions were established to develop and deliver the vision and strategy for agricultural exports, and to coordinate the range of the export business and digital reform programs that are currently underway. At the heart of this reform package is the modernisation of export systems by building Digital Services to Take Farmers to Markets.

The role:

As a data scientist on the Busting Congestion program, the successful candidate will work one or more multi-disciplinary teams to deliver digital services that help Australian agricultural producers and exporters.

Key deliverables:

• Help teams to understand what is possible with the data we already collect and identify additional sources of data we could consume.
• Identify the most appropriate sources of data for the user need and help teams operationalise these datasets into user-centred features of digital products through analysis, visualisation, predictive modelling, machine learning and more.
• Assist teams understand the strategic context of the data they use, including privacy, security, and regulatory obligations.
Working with other team members like product managers, user researchers, developers and content designers, the successful candidate will bring an inquisitive and collaborative mindset to the team, building understanding of technical concepts in our non-technical team members, and taking an open and pragmatic approach to solving problems.

Skills and Experience

• Proven experience as a Data Scientist or Data Analyst
• Extensive experience in large scale transformations
• Demonstrable experience in solving complex problems with data not opinion
• Strong track record working in agile and multi-disciplinary teams
• Human Centred Design approach to service delivery
• The ability to communicate effectively with technical and non-technical audiences
• Influencing and guiding decisions with senior stakeholders
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Analytical mind and business acumen
• Excellent communication and presentation skills