Amman, Jordan
Live, first seen by us 84 days agoWork setup in the employer’s posting: RemoteFrom the employer’s posting
Employment type in the employer’s posting: Full-TimeFrom the employer’s posting
You will lead the development and continuous improvement of forecasting solutions that support both operational execution and long-term network strategy.
Working with large, complex datasets, you’ll build and manage models that inform everything from daily planning decisions through to multi-year volume forecasts and network optimisation.
Lead end-to-end network forecasting across first, middle and last mile
Enhance short- and long-range volume forecasts
Build scenario models and sensitivity analysis for planning under uncertainty
Design scalable, analytics-ready datasets and forecasting pipelines
Translate complex forecast outputs into decision-ready insights
You will lead the development and continuous improvement of forecasting solutions that support both operational execution and long-term network strategy.
Working with large, complex datasets, you’ll build and manage models that inform everything from daily planning decisions through to multi-year volume forecasts and network optimisation.
Lead Network Operations end-to-end network forecasting across first, middle and last mile
Enhance short and long-range volume forecasts
Build scenario models and sensitivity analysis to support planning under uncertainty
Design and build scalable, analytics-ready datasets supporting forecasting and planning
Translate complex outputs into clear, decision-ready insights and narratives
5+ years’ experience in forecasting, data science or advanced analytics (ideally within logistics, supply chain or operations)
Strong experience building forecasting models using time series, regression or machine learning techniques
Experience working with large, complex, multi-source datasets
Experience with Python/R or forecasting tools (e.g. Prophet, ARIMA, XGBoost)
Experience with analytics engineering practices (testing, Git, CI/CD workflows)
We’re seeking a Data Solutions Analyst / Scientist to lead forecasting, AI-driven models and scalable data products that support Australia Post’s national network operations.
In the employer’s words · Read in context
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Day 84
Up longer than most. Similar jobs usually come down between day 7 and day 56.
At APG eCommerce Solutions, jobs usually come down by about day 59.
From 10,420 similar postings that came down, and 5 of APG eCommerce Solutions’s. Coming down is not always a hire.
2 open jobs
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- Advanced SQL capability and experience with cloud platforms (e.g. GCP, BigQuery) - Experience with Python/R or forecasting tools (e.g. Prophet, ARIMA, XGBoost) - Strong stakeholder engagement skills, with the ability to translate complex concepts into clear insights
- Design and build scalable, analytics-ready datasets supporting forecasting and planning - Develop production-grade data models and forecasting pipelines using SQL and cloud platforms such as GCP and BigQuery, with exposure to tools such as Dataform or Vertex AI highly regarded. - Apply analytics engineering practices (modelling, testing, CI/CD, version control)
- Willingness to learn and apply and showcase a challenging mind to improving forecasts and how they can be used in the business for commercial and service improvements - Advanced SQL capability and experience with cloud platforms (e.g. GCP, BigQuery) - Experience with Python/R or forecasting tools (e.g. Prophet, ARIMA, XGBoost)
- Experience with analytics engineering practices (testing, Git, CI/CD workflows) - Data visualisation and storytelling capability (e.g. Tableau, Looker) - Commercial acumen and an understanding of cost, service and capacity trade-offs
Complete your application on apgecommerce.bamboohr.com. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
JOB TITLE: Data Solutions Analyst/Scientist
REPORTS TO: Manager, Network Reporting
LOCATION: Amman, Jordan
Working hours: Flexible to accommodate Australian time zone
About the opportunity
We’re seeking a Data Solutions Analyst / Scientist to lead forecasting, AI-driven models and scalable data products that support Australia Post’s national network operations. As part of the Network Insights, Analytics and Reporting team, you’ll own end-to-end network forecasting and partner with Operations, Planning, Finance, Commercial and Technology teams to deliver decision-ready insights. This high-impact role is ideal for someone who thrives in ambiguity, understands uncertainty, and can translate complex analytics into clear actions that improve service, cost, safety and network capacity outcomes.
About the role
You will lead the development and continuous improvement of forecasting solutions that support both operational execution and long-term network strategy.
Working with large, complex datasets, you’ll build and manage models that inform everything from daily planning decisions through to multi-year volume forecasts and network optimisation.
What you’ll deliver
Forecasting & strategic planning
Stakeholder partnership & decision influence
Advanced analytics & modelling
Data & analytics engineering
Commercial impact & continuous improvement
About you
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No pay amount identified in the saved description.
Amman, Jordan
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.