#EG Data Scientist
Singapore, Singapore
SGD 149K-199K (estimate) Senior-level Full Time
Tasks
- Advise when rules based or classical ML is more defensible than Gen AI
- Build baseline classical ML models
- Collaborate on evaluation design and benchmark methodology
- Define hypotheses and success metrics
- Design training test and holdout validation
- Document methodology assumptions and results
- Engineer features for structured data pipelines
- Monitor model performance and data drift
- Perform exploratory data analysis
- Support fair evaluation for Gen AI solutions using quantitative benchmarks
- Support model recalibration and retraining
- Translate business problems into statistical ML problems
- Validate models using cross validation and significance testing
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | Causal Inference | Classification | Clustering | Cross-validation | Data Analysis | Data Drift | Data drift monitoring | Drift monitoring | Experimental Design | Exploratory Data Analysis | Feature Engineering | Hypothesis Testing | MLOps | MLflow | Matplotlib | NumPy | Pandas | Power BI | Prophet | Python | Regression | Regression Analysis | SQL | Scikit-learn | Seaborn | Series forecasting | Significance Testing | StatsModels | Tableau | Time Series | Time Series Forecasting
Education
N/A
Roles
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