Swiggy Hiring Data Scientists (0-2 Yrs) Remote!

Swiggy hiring freshers for Data Scientists. Candidates with Bachelors or Masters degree in a quantitative field with 0-2 years of industry/research lab experience are eligible to apply. The detailed eligibility and application process are given below.

Details About Swiggy Hiring 2024:

Job Role: Data Scientists

Qualification: Bachelors or Masters degree in a quantitative field

Batch: 2020/2021/2022/ 2023

Experience: Freshers (0-2 Years)

Salary: ₹ 22.4 LPA (Via Ambitionbox)

Job Location: Remote

Last Date: ASAP

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About the job:

Way of working – Remote: Employees will have the freedom to work remotely all through the year. These employees, who form a large majority, will come together in their base location for a week, once every quarter.

Data Science at Swiggy

Data Science and applied ML is ingrained deeply in decision making and product development at Swiggy. Our data scientists work closely with cross-functional teams to ship end-to-end data products, from formulating the business problem in mathematical/ML terms to iterating on ML/DL methods to taking them to production. We own or co-own several initiatives with a direct line of sight to impact on customer experience as well as business metrics. We also encourage open sharing of ideas and publishing in internal and external avenues.

About the Ads Monetization Team

This team is responsible for building and optimizing ML solutions for the full lifecycle of ads across both Food and Instamart Business lines, everything from sourcing the right set of ads to pricing them to targeting them via personalized and multi-objective-optimized user-response models. Ads being one of the highest throughput and lowest latency systems at Swiggy, we are also maniacally focused about delivering pragmatic and scalable solutions.

What you will do

  • You will leverage your strong ML/DL/Statistics background to build new and next generation of ML based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve the campaign performance.
  • You will mine and extract relevant information from Swiggy’s massive historical data to help ideate and identify solutions to business and CX problems.
  • You will work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale.
  • You will stay abreast with the latest in ML research for Ads Bidding algorithms, Recommendation Systems related areas and help adapt it to Swiggy’s problem statements.
  • You will publish and talk about your work in internal and external forums to both technical and layman audiences.


  • Bachelors or Masters degree in a quantitative field with 0-2 years of industry/research lab experience
  • Required: Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles
  • Required: Depth and hands-on experience in applying ML/DL, statistical techniques to business problems
  • Preferred: Experience working with ‘big data’ and shipping ML/DL models to production
  • Required: Strong proficiency in Python, SQL, Spark, Tensorflow
  • Required: Strong spoken and written communication skills
  • Big plus: Experience in the space of ecommerce and logistics

How to Apply for Swiggy Hiring 2024:

All interested and eligible candidates can apply for Swiggy Hiring 2024 online by the following link as soon as possible.

Apply Link: CLICK HERE

How to apply?

  1. Click on the “Apply here” button provided below. You will be redirected to the official career page.
  2. Click on “Apply”.
  3. If you have not registered before, create an account.
  4. After registration, log in and fill in the application form with all the necessary details.
  5. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  6. Verify that all the details entered are correct.
  7. Submit the application form after verification.

If you face any issues while applying, do let us know in the comment section.