Swiggy is hiring for a remote fresher entry level Data Scientist

Data Scientist - I

Swiggy

India

Full-time

Remote

N/A

0-2 years

Company Description

Introduction to Swiggy:
- Swiggy stands as India's premier on-demand delivery platform.
- The company embraces a tech-centric approach to logistics and a solution-driven attitude towards consumer needs.
- Swiggy operates in over 500 cities across India.
Operations and Reach:
- The platform collaborates with hundreds of thousands of restaurants.
- Employs a workforce of more than 5,000 employees.
- Supported by an independent fleet of over 200,000 Delivery Executives.
Technological Backbone:
- Powered by advanced ML technology.
- Processes terabytes of data daily to ensure seamless and reliable deliveries.
Growth and Evolution:
- Originated in 2014 as a hyperlocal food delivery service.
- Evolved into a logistics powerhouse, excelling in fast and efficient deliveries.
Expansion and Innovation:
- Recent additions include Swiggy Instamart, Genie, Dineout, and Minis.
- Continues to innovate and expand, offering more opportunities for growth.
Equal Opportunity:
- Committed to being an equal opportunity employer.
- Welcomes applications from diverse backgrounds, without discrimination.

Role of a Data Scientist at Swiggy:
- Integral to decision-making and product development.
- Collaborates with cross-functional teams.
- Involves in developing end-to-end data products.
Responsibilities:
- Formulating business problems into mathematical/ML models.
- Iterating on ML/DL methods for production deployment.
- Contributes to initiatives impacting customer experience and business metrics.
Team Dynamics:
- Part of the Ads Monetization Team.
- Focuses on building and optimizing ML solutions for ads.
- Manages the lifecycle of ads, including sourcing, pricing, and targeting.
Skills Utilization:
- Leverages a strong background in ML/DL/Statistics.
- Mines and extracts data to ideate business solutions.
- Collaborates on detailed technical designs and implementation.
Innovation and Knowledge Sharing:
- Keeps up with the latest ML research in Ads Bidding and Recommendation Systems.
- Encouraged to share and publish work internally and externally.

Educational Background:
- Bachelor’s or Master’s degree in a quantitative field.
- Preferably with 0-2 years of experience in the industry or research labs.
Essential Skills:
- Strong problem-solving abilities, capable of deconstructing and formulating solutions from first principles.
- Depth in applying ML/DL and statistical techniques to business challenges.
Preferred Experience:
- Experience working with 'big data.'
- Proficiency in deploying ML/DL models to production environments.
Technical Proficiency:
- Strong knowledge of Python, SQL, Spark, and TensorFlow.
Communication Skills:
- Strong written and verbal communication abilities.
Additional Advantage:
- Experience in the e-commerce and logistics domain is a significant plus.

Way of Working:
- Remote Working: Employees work remotely throughout the year.
- Quarterly Meetups: Teams gather at their base location for a week once every quarter.
Data Science at Swiggy:
- Core to Decision Making: Data Science is crucial for product development and decision-making.
- Cross-functional Collaboration: Works closely with various teams to develop data-driven solutions.
Ads Monetization Team:
- Lifecycle Management: Focuses on the entire ad lifecycle, from sourcing to pricing and targeting.
- Scalable Solutions: Delivers pragmatic, scalable ML solutions for high-throughput, low-latency systems.
Role Expectations:
- ML Solutions Development: Develops next-generation ML solutions to enhance ad recommendations and optimize campaign performance.
- Data Utilization: Utilizes extensive historical data to identify business solutions.
Staying Updated:
- ML Research: Remains informed about the latest ML research and integrates it into Swiggy’s problem-solving approach.
- Knowledge Sharing: Encouraged to present and discuss work in various forums, both internally and externally.