Risk Analytics Product Development / Data Scientist, VP
INR 3000K-6000K (estimate) Executive-level Full Time
Tasks
- Automate build, test, and deploy
- Build ingestion and mapping pipelines
- Coach junior team members
- Collaborate with product and engineering on delivery plans
- Define integration architecture patterns
- Design data integrations
- Develop ETL/ELT workflows
- Document mappings and technical specifications
- Enable model deployment and monitoring
- Ensure environment readiness and releases
- Ensure reconciliation and auditability
- Implement data quality and audit controls
- Implement data validation and publishing
- Implement feature store patterns
- Implement monitoring alerting and run books
- Lead incident triage and root cause analysis
- Rationalize technology stacks and feeds
- Support feature engineering
- Transform data for model ready datasets
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
API | Agile | Azure Event | Azure Event Hubs | CDC | CI/CD | Data Lineage | Data Modeling | Data Quality | Data Reconciliation | Dimensional Modeling | ELT | ETL | Event Hubs | Feature Engineering | Feature Store | Git | Idempotency | Kafka | MLOps | Metadata catalog | Model Monitoring | Python | Relational modeling | SQL | Scala
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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