Full Stack Data Scientist
HybridSydney, New South Wales, Australia
Sydney, New South Wales, AustraliaHybridFull TimeDoctorate Or Professional Degree
Full TimeDoctorate Or Professional Degree
Job Summary
Build and own lifetime value, churn, and spend-curve models that drive marketing segment prioritization and channel allocation. Design and run incrementality experiments and randomized controlled trials to validate marketing interventions, establishing standards for their setup and interpretation. Partner with commercial stakeholders to frame hypotheses, communicate model outputs with uncertainty, and translate technical findings into actionable business decisions. Productionize models on cloud platforms, monitor for drift, and ensure reliable deployment from prototype to live systems.
Required Qualifications
- 7+ years in applied data science, statistical modelling or quantitative research
- Track record of shipping models that influenced real decisions
- Builder mentality: writing production-quality Python or R
- Strong statistical modelling: regression, survival and hazard models, Bayesian inference, time series
- Comfortable with data platforms on AWS or GCP with an ability to deploy and scale batch jobs or always-on models
- Causal inference expertise: difference-in-differences, synthetic control, interrupted time series, matching methods
- Solid SQL and hands-on experience with a cloud data warehouse
- Ability to communicate with non-technical stakeholders clearly enough that they can act on their outputs
- AI-native ways of working: using AI agents and tools as a genuine accelerator in the workflow
- Evaluate model outputs critically, know when to push back, and actively extend what can be done independently through agentic approaches
Desired Qualifications
- Experience in marketing analytics: customer LTV, media mix modelling or channel attribution in an e-commerce or subscription context
- MLOps experience: model versioning, deployment pipelines, monitoring and retraining workflows
- Familiarity with the GCP ecosystem (BigQuery, Vertex AI, Cloud Run)
- Experience presenting to senior commercial stakeholders or embedding models into business planning cycles
- Background in e-commerce, subscription or retail where customer behaviour data is central to the business
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