Senior Data Scientist
Sydney, New South Wales, Australia
AUD 150K-175K (estimate) Senior-level Full Time
Tasks
- Apply LLMs for explainability and feature engineering
- Build agentic loops and async workflows
- Collaborate on POS data pipelines and serving APIs
- Create experimentation environment and feature store requirements
- Develop demand forecasting models
- Implement MLOps workflow orchestration and experiment tracking
- Operate model deployment pipelines
- Perform feature engineering and model selection
- Perform variance attribution for forecast explanations
- Run model evaluation and cohort comparison
- Serve models through APIs
- Use AutoML for model iteration
- Validate compute footprint before deployment
Perks/Benefits
- AI-first culture
- Async workflows
- Flexible experimentation pace
- Humans in final review
- Ownership culture
Skills/Tech-stack
AutoARIMA | AutoETS | Automl | CI/CD | Causal reasoning | Code review | Cross-validation | Databricks | Exogenous regressors | Experiment design | Experiment tracking | Feature Engineering | Feature Store | Hypothesis Testing | LLMs | LightGBM | Model Serving | Pandas | Prophet | PySpark | Python | Quantile loss | RAG | Scikit-learn | TIDE | Time Series | Time series cross-validation | Type Checking | Unit Testing | Variance Attribution | Vector Databases | Workflow Orchestration | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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