Swiggy Off Campus Hiring Fresher For Associate Data Scientist | Jobs Addaa | Limited Seats

Swiggy Off Campus Drive : Swiggy Off Campus hiring fresher for the Associate Data Scientist Role for Bachelors or Masters degree graduates and any batch graduates are eligible. The detailed company eligibility and application details are given below.  

About Swiggy :

Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500 cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation.

Job Description :

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

Job Title : Associate Data Scientist
Job Type : Full Time
Location : Bangalore
Experience : Fresher – 3 Years

Role and Responsibility :

• 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).

Education and skills :

• 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.

How To Apply Swiggy Off Campus Drive ??  

All interested and eligible candidates can apply before expire in the following link.  

Apply Link : Click Here(ADS), Click Here(DS)