Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500 cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation.

Swiggy looking for fresher graduates with proficient knowledge in Python, SQL, Spark, Tensorflow, having  strong ML/DL/Statistics background for the role of Software Engineer – Data Scientist.

Job Designation :  Software Engineer – Data Scientist

Qualification :  Bachelor’s / Master’s degree

Experience : Freshers / 0 – 2 years

Skill Set :

1. Strong proficiency in Python, SQL, Spark, Tensorflow.
2. Proficiency in programming languages such as Python, R, or Java.
3. Depth and hands-on experience in applying ML/DL, statistical techniques to business problems
4. Working knowledge of big data’ and shipping ML/DL models to production
5. Experience with data manipulation and analysis tools, such as SQL, Excel, and pandas.
6. Excellent problem solving skills.
7. Ability to deconstruct and formulate solutions from first-principles.
8. Strong spoken and written communication skills.

Job Description :

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.

1. 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.
2. You will mine and extract relevant information from Swiggy’s massive historical data to help ideate and identify solutions to business and CX problems.
3. You will work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale.
4. 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.
5. You will publish and talk about your work in internal and external forums to both technical and layman audiences.

Location : Remote, India