Junior Data Scientist
Tasks
- Apply feature engineering for predictive modeling
- Automate data preparation and model execution
- Calculate and report forecast accuracy metrics
- Create dashboards charts and visualizations
- Develop and maintain Python scripts
- Document findings and escalate issues
- Execute and maintain forecasting models
- Maintain technical documentation for datasets models and workflows
- Monitor model outputs and forecast deviations
- Perform data quality assessments and anomaly detection
- Prepare clean validated datasets
- Provide progress updates in team meetings
- Retrain models and generate scheduled forecasts
- Support data pipeline development
- Support demand forecasting predictive analytics
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Azure Databricks | Data Analysis | Data Pipelines | Data Preprocessing | Data Quality | Demand forecasting | Exploratory Data Analysis | Feature Engineering | Forecast accuracy | Git | MAE | MAPE | MLOps | Machine Learning | Matplotlib | Model Validation | NumPy | Pandas | Power BI | PySpark | Python | RMSE | Regression | SQL | Scikit-learn | Seaborn | Series analysis | Tableau | Time Series | Time Series Analysis
Education
N/A
Roles
Analyst | Data Scientist | Forecasting Analyst | Junior Data Scientist | Scientist
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