Senior Data Scientist
Sydney, New South Wales, Australia
AUD 150K-175K (estimate) Senior-level Full Time
Tasks
- Build demand forecasting models
- Build forecasting confidence and quantile outputs
- Create variance attribution and forecast explainability
- Deploy and monitor production models
- Develop MLOps platform components
- Develop hourly and intraday demand modeling
- Implement per venue model selection
- Integrate ML insights into analytics dashboards and actions feed
- Orchestrate ML workflows with feature store and model registry
- Own machine learning lifecycle end to end
- Run model evaluations and select best cohort approach
- Validate compute footprint before deployment
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AutoARIMA | AutoETS | CI/CD | Causal reasoning | Code review | Cross-validation | Data pipeline | Databricks | Exogenous regressors | Experiment tracking | Feature Engineering | Gradient boosting | Hypothesis Testing | Kubernetes | LightGBM | MLOps | Model Evaluation | Model Serving | Monitoring | Pandas | Pandera | Polars | Prophet | Pydantic | Pytest | Python | Quantile loss | Terraform | Time Series | Time series cross-validation | Type Checking | Unit Testing | Workflow Orchestration
Education
N/A
Roles
Regions
Countries
States
Cities
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