Swiggy Offcampus hiring graduates for Data Scientist | Swiggy Offcampus Drive 2024
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| JOB | DETAILS |
|---|---|
| Company | SWIGGY |
| Role | Data Scientist |
| Experience | 0 to 2 yrs |
| Education | BE/BTECH/ME/MTECH |
| Salary | 24LPA |
| Last Date | Apply ASAP |
| Location | India |
| More 2022 Batch Job Updates | CLICK HERE |
| More 2023 Batch Job Updates | CLICK HERE |
| More 2024 Batch Job Updates | CLICK HERE |
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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.
Data Science at SwiggyData 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 TeamThis 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 doYou 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.
As part of our team, you’ll have the opportunity to take end-to-end ownership of impactful products within our Ads Monetization platform and Ads Recommendation systems. You’ll work on diverse problem statements, including multi-objective recommendation systems, graph-based methods, contextual bandits, and bid optimization techniques. You’ll collaborate closely with product managers to shape the product, conduct data analysis, build models, run A/B experiments, and scale products that influence the lives of millions of customers. The satisfaction of seeing your work making a tangible impact is unparalleled.
You’ll also be joining a highly talented peer group that has played a pivotal role in scaling Data Science solutions to drive significant business impact within Swiggy.
If you have 0–2 years of work or research experience, a strong background in ML/DL, an attitude to do whatever it takes to get the job done, and are interested in this role, please apply here
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