Statistician (Geospatial Forecasting)

TL;DR

Statistician (Geospatial Forecasting): Develop and optimize geospatial and financial data models to forecast site profitability and network performance across Pacific markets with an accent on multivariate statistics, geospatial data governance, and strategic site planning. Focus on analyzing demographic and socioeconomic data, ensuring mapping accuracy, and collaborating with stakeholders to align data insights with business goals.

Location: Australia (Pacific region focus)

Company

hirify.global specializes in Clean Loop Recycling technology, operating reverse vending and recycling centers across Australia to promote sustainable container recycling.

What you will do

• Develop and optimize geospatial and financial data models for site profitability and network performance forecasting.
• Analyze demographic, economic, and mobility datasets to guide site selection and network planning.
• Review state networks to identify service gaps, overlaps, and opportunities for improvement.
• Maintain geospatial mapping governance, ensuring data standards and documentation compliance.
• Create visual mapping outputs and dashboards to communicate insights to stakeholders.
• Collaborate with internal teams and external data providers to enrich datasets and align mapping with business goals.

Requirements

• Bachelor’s degree in data science, statistics, economics, or related field with multivariate statistics modelling.
• Proven experience in data modelling, multivariate statistics, and associated software tools.
• Experience or interest in GIS tools such as ArcGIS and QGIS, Excel, and data visualization platforms.
• Strong understanding of demographic and socioeconomic data sources.
• Excellent communication and stakeholder engagement skills.
• Familiarity with Pacific region market dynamics is highly desirable.