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Swiggy

Data Scientist II

Swiggy seeks a Data Scientist II to join its team in Bengaluru. In this position, the professional will apply a strong background in statistics, machine learning,…

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Location
Bengaluru, India
Salary
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Employment type
Full-time
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Added to Jobsiz2h agoEmployer posted Oct 27, 2026
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About This Role

Swiggy seeks a Data Scientist II to join its team in Bengaluru. In this position, the professional will apply a strong background in statistics, machine learning, and deep learning to design innovative solutions that elevate advertising recommendation quality and enhance campaign performance using optimization methods. The selected candidate will analyze large historical datasets to generate ideas and solve customer experience and business issues. Furthermore, the role involves collaborating with product…

Job Description

Swiggy seeks a Data Scientist II to join its team in Bengaluru. In this position, the professional will apply a strong background in statistics, machine learning, and deep learning to design innovative solutions that elevate advertising recommendation quality and enhance campaign performance using optimization methods. The selected candidate will analyze large historical datasets to generate ideas and solve customer experience and business issues. Furthermore, the role involves collaborating with product managers, analysts, and engineers to create, design, and implement end-to-end inference solutions at scale, while keeping up with current research in recommendation systems and ads bidding algorithms.

This opportunity is well-suited for a practitioner who wants to manage projects from start to completion and share findings across technical and non-technical internal and external forums. Team members will also have the chance to tackle logistics challenges, build and launch machine learning models, and integrate data-driven systems alongside software developers and product managers. Swiggy operates as an equal opportunity employer.

Responsibilities

  • Build machine learning and deep learning solutions to enhance advertising recommendation quality and campaign performance
  • Extract and analyze historical data to address business and customer experience challenges
  • Collaborate with engineers, product managers, and analysts on requirements, technical designs, and inference solutions
  • Monitor and adapt current machine learning research for ads bidding algorithms and recommendation systems
  • Present work in internal and external forums to technical and non-technical audiences
  • Manage projects from inception through delivery
  • Integrate data-driven solutions into existing systems by working with cross-functional teams

Requirements

  • Three to five years of industry or research lab experience
  • Practical technical expertise in applying machine learning to big data
  • Demonstrated history of shipping machine learning data products
  • Experience working within the software development life cycle alongside product managers and software developers

Qualifications

  • Master degree in Machine Learning, Statistics, Applied Mathematics, or related fields
  • Experience in deep learning
  • Previous background in product-based consumer internet companies or startups

Core Skills

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

Where is this job located?

This role is located in Bengaluru.

What are the core experience requirements?

Applicants need three to five years of industry or research lab experience, practical technical expertise in applying machine learning to big data, and a history of shipping machine learning data products.

What educational background is needed?

Candidates must hold a Master degree in Machine Learning, Statistics, Applied Mathematics, or related areas.

What salary does this position offer?

The job posting does not specify the salary.

Is remote work permitted?

The job posting does not specify whether remote work is allowed.

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Posted by Swiggy

Source: Swiggy

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Posted by employer: Oct 27, 2026

Added to Jobsiz: Oct 27, 2026

The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

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