Data Science Lead
Tasks
- Align volume definitions and KPIs
- Automate data preparation validation and reporting
- Build Python workflows
- Build forecasting ready datasets
- Create dashboards for operational visibility
- Define raw data standards
- Develop machine learning models
- Develop time series models
- Drive single source of truth datasets
- Establish data quality checks
- Flag data gaps and spikes
- Identify volume fluctuation drivers
- Improve forecast accuracy and explainability
- Improve forecasting turnaround time
- Incorporate seasonality and external drivers
- Optimize datasets in BigQuery
- Own forecasting data lifecycle
- Perform anomaly detection
- Reconcile data inconsistencies
- Reduce manual workload in forecasting
- Support scenario modeling
- Translate data into forecasting insights
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Redshift | Anomaly Detection | Cloud Data | Cloud data warehousing | Data Preprocessing | Data Quality | Data Warehousing | ETL | Forecasting | Google BigQuery | Looker Studio | Machine Learning | Machine learning modeling | Python | SQL | Series modeling | Snowflake | Time Series | Time Series Modeling
Education
Roles
Data Science | Data Science Lead | Data Scientist | Lead | Science Lead | Scientist
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