Principal Data Scientist
Tasks
- Automate recurring workflows and operational load
- Build and operate reconciliation and supervision reporting flows
- Build deploy and monitor dashboards
- Collaborate with compliance ops product and business leaders
- Create and maintain queryable tables views and documentation
- Define metric definitions with clear grains
- Deploy through CI/CD pipelines
- Draft pipelines and generate tests using AI
- Execute predictive analytics and forecasting
- Ingest model and curate datasets in BigQuery
- Monitor services on Kubernetes and GKE
- Write and ship production code
Perks/Benefits
- Career growth and development opportunities
- Community involvement
- Health and wellbeing resources
- Hybrid work environment
- Paid vacation
- Personal days
- Sick days
Skills/Tech-stack
Agent Frameworks | Auditability | BigQuery | CI/CD | Compliance reporting | Data Modeling | Data Reconciliation | Docker | GKE | Git | Grafana | Kubernetes | LLM Applications | LLMOps | Language Processing | Looker | Machine Learning | Natural Language | Natural Language Processing | PII Awareness | PyShiny | Python | SQL | Series forecasting | Surveillance Reporting | Time Series | Time Series Forecasting
Education
N/A
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