Associate Data Scientist (swiggy Freshers Data Scientist)

If you are someone who is passionate about data, analytics, and solving real-world business problems, then the swiggy Freshers Data Scientist role is one of the best opportunities to begin your career. Swiggy, India's leading on-demand delivery platform, is expanding its Data Science team and offering freshers a chance to join them as Associate Data Scientist in Bangalore. This detailed job guide covers the role, responsibilities, required skills, eligibility, application tips, and everything you need to know before applying. If your dream is to start your analytics career with a top tech company, this is the perfect place to start. About Swiggy's Associate Data Scientist Role Swiggy processes millions of orders every single day. To keep such a huge ecosystem running smoothly, strong Data Science systems are required. This is where the swiggy Freshers Data Scientist role comes in. As an Associate Data Scientist, you will work at the intersection of: Data Science Machine Learning Engineering Operations Your primary responsibility will be ensuring production stability of Swiggy's data science and ML systems. This is an excellent role for freshers who want hands-on experience with real-world data pipelines, observability tools, and model debugging. Why This Role Is Perfect for Freshers Swiggy's Data Science environment is highly structured, making it ideal for beginners. As part of the swiggy Freshers Data Scientist program, you get: Exposure to real-time ML systems Hands-on experience in debugging and incident response Clear career growth path toward Data Scientist or ML Engineer Opportunities to learn from industry experts Everyday problem-solving with real impact Key Responsibilities in the swiggy Freshers Data Scientist Role The Associate Data Scientist will act as the first line of defense whenever a Data Science model or pipeline faces issues. You will: 1. Monitor Automated Alerts Across Swiggy's large ecosystem, you will observe performance drops, errors, metric spikes, data pipeline delays, etc. 2. Execute IRPs (Incident Response Plans) Each system has documented workflows that guide you on: What causes the alert How to start initial checks When to escalate 3. Debug and Analyze Issues Using: Logs Dashboards Observability tools Root cause analysis (RCA) tools 4. Identify If the Issue Is Operational or Model-Related This is the core skill that defines the swiggy Freshers Data Scientist role. 5. Communicate Clearly With Engineering & DS Teams You must write crisp reports summarizing: Issue Root cause Solution applied Preventive actions