Associate Data Scientist

J

ob Title: Associate Data Scientist

Location:

Bangalore (WFO)

Tenure:

0-1 Years

About The Team And Role

first line of defense

intersection of Data Science, Engineering, and Operations

• Data Scientist / ML Engineer: With upskilling, contributing to model design, experimentation, and deployment
  

What will you get to do here?

• Monitoring automated alerts across domains.
• Executing defined incident response runbooks.
• Debugging issues using available RCA tools, observability tools, logs, and dashboards.
• Determining whether the issue is operational or model-related.
• Escalating to the model owner when necessary.
• Ensuring incident reports are logged with root-cause summaries and resolution notes.
• Every domain maintains a structured Incident Response Plan (IRP):
• Alerts – List of metrics and conditions that trigger an incident (e.g., data pipeline delays, sharp metric drops, API errors).
• Response – Step-by-step guide for initial checks (logs, dashboards, health checks).
• Tools to Debug – Domain-specific tools (Grafana, DBR notebooks, feature store dashboards).
• Escalation Triggers – Clear thresholds for escalation to model owners (data quality corruption, unexplained metric deviations).
  

What qualities are we looking for?

• Monitoring & Debugging: Familiarity with observability tools (Grafana, Prometheus, Cloud Monitoring).
• Data Systems Knowledge: Hands-on with SQL, Python, Basic Spark
• Statistical Intuition: Ability to distinguish noise vs. genuine anomalies in KPIs.
• Problem-Solving: Strong troubleshooting skills under time pressure.
• Communication: Crisp incident communication and handoff to DS/engineering teams.
• Documentation Discipline: Updating incident logs, playbooks, and IRPs post-mortem.