Principal Data Scientist
Tasks
- Automate recurring workflows using AI
- Build and operate reconciliation reporting flows for compliance
- Build predictive analytics and forecasting models
- Build, deploy, and maintain dashboards
- Collaborate with compliance operations product and business leaders to deliver solutions
- Define metric definitions with grains and ownership
- Deploy via CI CD pipelines and monitor services on Kubernetes
- Implement self serve analytics with tables views documentation and examples
- Ingest model and curate datasets in BigQuery
- Write and ship production data pipelines and analytics code
Perks/Benefits
- Career growth and development
- Community causes involvement
- Health & wellbeing resources
- Hybrid work at least 3 days in office
- Paid vacation personal and sick days
Skills/Tech-stack
Airflow | Amplitude | BigQuery | CI/CD | Data Governance | Data Modeling | Docker | Experimentation | GCP | GCP Composer | GCP Dataflow | GKE | Git | Grafana | Kubernetes | Looker | Machine Learning | PII compliance | Predictive Analytics | PubSub | PyShiny | Python | SQL | Series forecasting | Time Series | Time Series Forecasting
Education
N/A
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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