Data Scientist
Tasks
- Analyze forecasting errors and anomalies
- Build demand forecasting models
- Build reusable analytical frameworks
- Collaborate on model architecture
- Conduct dimensionality reduction and PCA
- Create data visualizations and summaries
- Design analytical studies
- Develop feature engineering roadmap
- Diagnose data drift
- Engineer features in feature store
- Maintain ML models and features
- Perform quasi experimental modeling
- Run model backtesting
Perks/Benefits
Skills/Tech-stack
AI Agents | ARIMA | Bayesian Inference | DBT | Dagster | Decision Trees | Deep learning | Feature Engineering | Feature Store | Gradient boosting | Jupyter | K-Means | K-means Clustering | LLM | LightGBM | PCA | Pandas | Prophet | Python | Random Forest | SQL | Scikit-learn | Snowflake | Snowpark | StatsModels | Streamlit | Time Series | XGBoost
Education
N/A
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