Job Description

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.

Job Profile

: Data Scientist II

Location

: Bangalore | Karnataka

Years of Experienc

e

: 3 - 5

ABOUT THE TEAM & ROLE:

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

What will you get to do here?

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. Opportunity to work on challenging and impactful projects in the logistics domain. Collaborative and supportive work environment that fosters learning and growth. Conduct data analysis and modeling to identify opportunities for optimization and automation.

What qualities are we looking for?

Bachelors or Masters degree in a quantitative field with 3-5 years of industry/research lab experience Experience in Generative AI, Applied Mathematics, Machine Learning, Statistics 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 Experience in Agentic AI , LLMS and NLP, Previous experience in deep learning, operations research, and working in startup or product-based consumer/internet companies is preferred Excellent communication and collaboration skills, with the ability to work effectively in a team environment

Visit our tech blogs to learn more about some the challenges we deal with:

https://bytes.swiggy.com/the-swiggy-delivery-challenge-part-one-6a2abb4f82f6


https://bytes.swiggy.com/how-ai-at-swiggy-is-transforming-convenience-eae0a32055ae


https://bytes.swiggy.com/decoding-food-intelligence-at-swiggy-5011e21dbc86



We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.