Meta Description: Explore the exciting opportunity to work as a Data Scientist at Swiggy. Leverage advanced ML/DL techniques, tackle real-world challenges, and make an impact in India’s leading on-demand delivery platform. Learn about the role, qualifications, salary, and application process.
About Swiggy
Swiggy is India’s premier on-demand delivery platform that has revolutionized convenience for millions. From its inception as a hyperlocal food delivery service in 2014, Swiggy has grown to become a leader in food delivery, quick commerce, and more. With partnerships across 600+ cities and a dedicated fleet of over 2 lakh delivery executives, Swiggy ensures lightning-fast service and an unmatched consumer experience.
Job Overview
| Position | Data Scientist – Level I |
|---|---|
| Location | Bengaluru, Karnataka, India |
| Job Type | Full-Time (Remote with quarterly in-office collaboration) |
| Experience | 0-2 years in industry/research labs |
| Salary | Competitive, based on experience and qualifications |
| Qualification | Bachelor’s/Master’s in a quantitative field |
| Skills Required | Python, SQL, TensorFlow, Spark, ML/DL techniques, communication |
Role and Responsibilities
As a Data Scientist at Swiggy, you’ll be at the forefront of innovation, contributing to key projects that enhance customer experience and drive business growth. Your key responsibilities include:
- Developing Advanced ML Solutions: Craft next-generation machine learning models to optimize ad recommendations and improve campaign performance.
- Data Analysis: Extract actionable insights from Swiggy’s massive datasets to address business challenges.
- Collaboration: Work with engineers, product managers, and analysts to design and implement scalable solutions.
- Research and Adaptation: Stay updated on ML research and implement cutting-edge techniques to solve unique Swiggy challenges.
- Sharing Knowledge: Present your work to both technical and non-technical audiences through publications and talks.
About the Ads Monetization Team
This specialized team focuses on delivering high-performing ad solutions across Swiggy’s Food and Instamart platforms. Responsibilities include sourcing the right ads, pricing them effectively, and optimizing targeting through user-response models. The team ensures that the solutions are both pragmatic and scalable, supporting one of the fastest-growing areas of Swiggy’s operations.
Skills and Qualifications
| Requirement | Details |
|---|---|
| Educational Background | Bachelor’s or Master’s in a quantitative field such as Computer Science, Statistics |
| Technical Skills | Proficiency in Python, SQL, TensorFlow, Spark |
| Experience | 0-2 years, with hands-on ML/DL and statistical techniques |
| Problem-Solving | Ability to deconstruct complex issues and develop first-principle solutions |
| Preferred Experience | Exposure to eCommerce or logistics-related projects |
| Communication Skills | Strong verbal and written communication for technical and non-technical audiences |
Ways of Working at Swiggy
Swiggy offers a flexible work environment, prioritizing employee convenience and collaboration:
- Remote Work: Work from anywhere throughout the year.
- In-Person Collaboration: Gather with your team in the base location for a week every quarter.
How to Apply
Follow these steps to apply for the role of Data Scientist at Swiggy:
- Click the Apply Link: Visit the official careers page or click the link provided in the job listing.
- Complete the Application: Fill in your details and attach your updated resume.
- Submit Your Application: Follow any additional instructions to complete the process.
IMPORTANTS LINKS :
FAQs
1. What is the location for this job?
This role is based in Bengaluru, Karnataka, India, with the flexibility to work remotely.
2. What are the key technical skills required?
You’ll need proficiency in Python, SQL, TensorFlow, Spark, and expertise in machine learning or deep learning techniques.
3. What is the salary for this position?
The salary is competitive and depends on your experience and qualifications.
4. Is prior experience in eCommerce required?
While not mandatory, experience in eCommerce or logistics is a significant advantage.
5. How often will I need to work in the office?
You’ll collaborate in person with your team once every quarter at your base location.
Disclaimer
This information is provided for informational purposes only, sourced from official job postings. We do not charge any fee or guarantee placements. Please verify all details on the official Swiggy careers page before applying.
Embark on your journey with Swiggy and redefine convenience in India!
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