WFM Data Science Lead
Tasks
- Automate data preparation and validation
- Build Python workflows
- Build automated data quality checks
- Build automated pipelines
- Define raw data standards
- Detect anomalies
- Develop machine learning models
- Develop time series models
- Drive standardized single source of truth
- Flag data gaps and spikes
- Identify volume fluctuation drivers
- Improve forecast accuracy
- Improve forecasting turnaround time
- Increase model explainability
- Integrate data into dashboards
- Optimize datasets in Google BigQuery
- Own forecasting data lifecycle
- Reconcile data inconsistencies
- Reduce manual reporting workload
- Reduce model bias
- Support scenario modeling
- Translate data into forecasting insights
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Business Intelligence | Customer Experience | Dashboarding | Data Pipelines | Data Preprocessing | Data Quality | Data Reconciliation | ETL | Forecasting | Google BigQuery | Looker | Looker Studio | Machine Learning | Python | SQL | Seasonality modeling | Series analysis | Time Series | Time Series Analysis | Workforce Management
Education
Roles
Data Science | Data Science Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Science Lead
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