Job Description

- Translate customer and business problems into clear analytical and machine-learning objectives.
- Work with large datasets, event data and feature stores to identify helpful signals and build predictive features.
- Develop, evaluate and improve models for use cases such as propensity, personalisation, growth and retention.
- Apply appropriate techniques across classification, regression, experimentation, forecasting and other applied data-science problems.
- Take models through the full product lifecycle, including deployment, automation, monitoring, retraining and ongoing maintenance.
- Help improve data quality, feature pipelines, model monitoring, drift detection and ML Ops practices.
- Work with product managers and business stakeholders to define success measures and translate model outputs into action.
- Explain technical approaches, assumptions and results clearly to technical and non-technical audiences.
- Collaborate with data, software and AI engineering teams to review solutions, improve coding standards and share knowledge.
- Contribute to technical documentation, design discussions and delivery planning.
- Work with external partners or vendors where required to deliver the right solution.

📌 Senior Data Scientist – Applied Machine Learning (Sydney)
🏢 Lendi
📍 Sydney