Data Scientist, Network Reliability Analytics

Amazon Web Services (AWS); Council of the City of Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

Amazon Support Services Pty Ltd in Sydney is seeking a Data Scientist to define metrics and own the data strategy for a high-impact network reliability program. You will design risk models, surface patterns affecting customer impact, and translate analysis into leadership dashboards.

You will lead experiments to evaluate automation rollouts, ensure data quality, and partner with senior engineers to push for evidence-based decisions that improve availability at scale.

Qualifications

• 2+ years of data scientist experience.
• Strong SQL and Python programming skills.
• Experience applying ML methods to real-world problems.

Responsibilities

• Define and drive the data science strategy for the program — the metrics, the experiments, and what counts as evidence that a change worked
• Lead the design and deployment of predictive risk and reliability models for network availability, using device failures, alarm telemetry, ticket data, and traffic signals
• Own the evidence behind program decisions: where availability is at risk, where automation is ready to expand, where engineering effort has the highest leverage. Defend recommendations to senior technical and business audiences
• Design and own the operational analytics and dashboards (Amazon QuickSight, Amazon CloudWatch, Python) used by senior leadership to track network health and the impact of operational change
• Design and run experiments to evaluate the automation we are rolling out — including agentic systems supporting engineers on incidents — measuring whether each rollout improved availability
• Drive data quality and classification improvements — event categorisation, root-cause attribution — so the program's metrics rest on solid ground
• Build and own event-driven scoring pipelines (Python, SQL, AWS Lambda, Amazon S3, Amazon Athena) that keep the decide / measure / improve loop running
• Bring statistical rigour to the engineers you partner with — review experiment designs, push back on unsupported assumptions, and raise the bar on how the team uses evidence

Skills

Data science

SQL

Python

Machine learning

AI systems evaluation

Experiment design

Statistics

Data visualization

Education

Bachelor's degree in STEM

Tools

SQL

Python

R / SAS

AWS Cloud

Job description

Amazon Support Services Pty Ltd in Sydney is seeking a Data Scientist to define metrics and own the data strategy for a high-impact network reliability program. You will design risk models, surface patterns affecting customer impact, and translate analysis into leadership dashboards.

You will lead experiments to evaluate automation rollouts, ensure data quality, and partner with senior engineers to push for evidence-based decisions that improve availability at scale.