Swiggy is hiring for a fresher and entry level Associate Data Scientist role in India

Position:

• Associate Data Scientist

Company:

• Swiggy

Location:

• Bengaluru, Karnataka, India

Job type:

• Full time

Job mode:

• On site

Job requisition id:

• 23022

Years of experience:

• 0 to 1

Company description

• Swiggy is a major consumer internet organisation in India with a growing presence across multiple service categories which include food delivery, grocery delivery, pick and drop services, dine out solutions, and discovery features that bring users closer to restaurants and essential outlets.

• The organisation began with a simple objective to make ordering food smooth and pleasant for millions of people. Over the years Swiggy has expanded into a large ecosystem that supports several merchants across cities. The platform serves a wide base of customers who seek convenience, speed, and reliability in their everyday activities.

• The organisation continues to invest in technology and product excellence which helps in supporting data driven decision making and operational stability. Teams collaborate across engineering, analytics, and customer experience to maintain systems that operate at large volumes.

• Swiggy focuses on innovation across multiple areas that include restaurant partnerships, delivery network optimisation, demand patterns, and logistics. The organisation places strong attention on user experience and works to refine its systems for better service. It offers several membership benefits through services bundled under a unified experience.

• The company encourages people who enjoy solving problems that arise in a fast moving environment. It supports an inclusive workplace and emphasises fair opportunities. Swiggy also seeks individuals who appreciate structured processes along with curiosity to explore technology driven challenges.

Profile overview

• This role is designed for individuals who want to begin their journey in data science by contributing to system reliability and production stability. The Associate Data Scientist supports the operational components that keep the organisation’s data science systems functioning without interruptions.

• The primary responsibility involves observing the automated alerts that come from multiple systems across various domains such as order flows, metrics related to delivery operations, or statistical indicators generated through predictive models. The person in this role becomes the first responder when an alert suggests that something requires attention.

• The role requires the individual to understand runbooks and follow incident response processes. These processes help in identifying the nature of issues and determining whether the concern is related to data inconsistency, system behaviour, or model output changes.

• The person will learn to use several internal and external tools that support debugging. This includes looking at logs, dashboards, and other diagnostic platforms that help in identifying the cause. The ability to differentiate between random variations and meaningful changes in patterns is essential.

• This position provides exposure to the workflow between data scientists, engineering teams, as well as operational stakeholders. It allows the individual to grow into roles that involve creating or improving models and understanding how these models influence business outcomes.

Qualifications

• Understanding of SQL for data retrieval tasks. The individual must be able to explore tables, perform checks on data quality, and evaluate patterns that may indicate an issue.

• Basic experience with Python. The person should know how to read scripts, execute them, and explore data using simple commands. Python familiarity helps in understanding model behaviour and running basic checks.

• Familiarity with Spark at a basic level. Candidates should know how data is processed in distributed environments.

• Ability to interpret metrics and distinguish random variations from actual problems. The role requires judgment while looking at key performance indicators.

• Ability to work under time pressure when an alert needs attention. The role often requires quick thinking and structured reasoning.

• Capability to document findings and maintain clarity while writing summaries. Proper documentation is needed for incident reports and helps teams learn from past issues.

• Clear communication that helps in transferring information to model owners, engineering teams, or domain specialists. Communication must help others understand what occurred and what steps were taken.

Additional info

• The team encourages individuals who enjoy solving technical problems and want to understand how large scale systems maintain stability. The role involves continuous learning since new metrics, new models, and new systems can be introduced frequently.

• Every domain inside Swiggy maintains a documented plan for responding to incidents. This plan covers alerts, first steps, tools used during debugging, and steps to determine when escalation is required. The Associate Data Scientist works within this structure and updates the plan when improvements are needed.

• The role offers growth opportunities. With added experience and learning, the individual can transition into data scientist roles or machine learning engineering roles where model creation and experimentation become central responsibilities.

• The organisation follows equal opportunity practices and invites candidates from all backgrounds. Individuals are encouraged to contribute their perspectives while supporting a respectful work environment.

• The role benefits someone who wants to learn the connection between data science, system engineering, and operational decision making. The exposure gained from real time issues provides strong foundation for future technical positions.

Please click here to apply.