Risk Analytics Product Development / Data Scientist, VP
Bangalore, India
R
INR 3000K-6000K (estimate) Executive-level Full Time
Tasks
- Automate build/test/deploy pipelines
- Build ingestion mapping validation publishing pipelines
- Coach junior team members
- Create model ready datasets
- Create technical specifications and run books
- Define integration architecture patterns
- Design data integrations
- Enable model deployment and monitoring
- Harden pipelines for resiliency
- Implement batch and streaming transformations
- Implement monitoring alerting and run books
- Implement reconciliation validation auditability controls
- Lead incident triage and root cause analysis
- Manage non prod and prod environments
- Own ETL/ELT workflows
- Perform feature engineering
- Prioritize backlog and groom user stories
- Rationalize technology stack and retire redundant feeds
- Support blue green and canary releases
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AWS | Agile | Azure | Backfill | Blue-Green Deployment | Blue/green | CDC | CI/CD | Canary Deployment | DBT | Data Lineage | Data Modeling | Data Quality | Data Reconciliation | Databricks | ELT | ETL | Event Hubs | Evidently AI | Feast | Feature Engineering | Feature Store | Git | Idempotency | Infrastructure as Code | Kafka | MLOps | MLflow | MLflow Registry | Metadata catalog | Model Monitoring | Object storage | Oracle | Python | SQL | SQL Server | Scala | Schema versioning | Spark | “as-code”
Education
Bachelor of Engineering | Bachelor of Information Systems | Bachelor of Science | Master of Science | PhD
Roles
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