Associate Data Scientist

Overview

The Associate Data Scientist will play a critical role in ensuring production stability of data science systems. The engineer will be the first line of defense when alerts or incidents occur in production. The on-call support engineer role provides strong exposure to the intersection of Data Science, Engineering, and Operations. A career path can evolve into:

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

• 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).
  
  

• 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.
  
  

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.