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About the Role
Amazon's operations in Australia are expanding, increasing supply chain complexity. The Supply Chain Optimisation Technology (SCOT) team is establishing a presence in Australia to address these challenges. We are seeking a Data Scientist to help build analytical foundations for automating and optimizing the local supply chain at scale.
Responsibilities
- Design, develop, and deploy machine learning models (e.g., time-series forecasting, regression, classification) to predict inbound volumes using signals from demand forecasts, vendor behavior, and upstream planning systems.
- Apply statistical methods and causal inference techniques to quantify defect attributions and translate analytical findings into actionable insights.
- Leverage agentic workflows and LLM-based pipelines to build self-improving prediction systems for inbound volumes, automating feature engineering, model retraining, and anomaly detection.
- Design and execute A/B tests and counterfactual analyses to measure the impact of supply chain interventions on inbound volume outcomes.
- Synthesize insights across product demand forecasting, inventory efficiency, and capacity planning to influence inbound volume projections and supply chain strategy at the leadership level.
Requirements
- 2+ years of data scientist or similar role experience involving data extraction, analysis, statistical modeling, and communication.
- 2+ years of experience with data querying languages (e.g., SQL, Hadoop/Hive).
- 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters affecting their performance.
- Experience applying theoretical models in an applied environment.
- Experience in Python, Perl, or another scripting language.
- Experience in a ML or data scientist role with a large technology company.
Skills
- Machine Learning
- Statistical Modeling
- Data Analysis
- SQL
- Hadoop/Hive
- Python
- Perl
- Agentic Workflows
- LLM-based Pipelines
- A/B Testing
- Causal Inference
Location
- Australia
Work Type
- Full-time
Experience Level
- 2+ years
- 3+ years
- 5+ years
Education Level
- Master's degree in a quantitative field
- Bachelor's degree in a quantitative field
About the Company
- Amazon's Supply Chain Optimisation Technology (SCOT) organisation solves deep technical problems and builds innovative solutions in a fast-paced environment.
- Learn more about SCOT: http://bit.ly/amazon-scot.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- Our inclusive culture empowers Amazonians to deliver the best results for our customers.
- If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.