Supply Chain Data Scientist, Forecasting & Optimization

Amazon; Sydney; On-site; AUD 120,000 - 170,000; Full time

Job summary

Amazon is expanding its SCOT team in Australia and seeks a Data Scientist to build analytical foundations for automating and optimizing the local supply chain at scale.

Responsibilities include designing predictive models, conducting root-cause analyses, and enabling automated intelligence with ML pipelines. Strong background in statistics and programming, plus collaboration with leadership, is required.

Qualifications

• 2+ years of data scientist or similar role involving data extraction, analysis, statistical modelling and communication experience
• 2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience
• 3+ years of machine learning/statistical modelling data analysis tools and techniques
• Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
• Experience applying theoretical models in an applied environment

Responsibilities

• Build Predictive Models: Design, develop, and deploy machine learning models to predict inbound volumes.
• Drive Root-Cause Analysis: Apply statistical methods to quantify defect attributions and variance.
• Enable Automated Intelligence: Build self-improving prediction systems with automated feature engineering and model retraining.
• Advance Experimentation: Design and execute A/B tests and counterfactual analyses to measure interventions.
• Influence Strategy: Synthesize insights to influence inbound volume projections and supply chain strategy at leadership level

Skills

Data analysis & communication

Statistical modeling

Model evaluation & debugging

Experimentation design

Education

Master's degree in a quantitative field

Bachelor's degree + 5+ years in a quantitative field

Tools

SQL

Hadoop/Hive

Python

Perl

Job description

Amazon is expanding its SCOT team in Australia and seeks a Data Scientist to build analytical foundations for automating and optimizing the local supply chain at scale.

Responsibilities include designing predictive models, conducting root-cause analyses, and enabling automated intelligence with ML pipelines. Strong background in statistics and programming, plus collaboration with leadership, is required.