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Job Description :
Vacancies & Eligibility Criteria:
| Post | Vacancy | Age | Qualification | Pay |
|---|---|---|---|---|
| Data Scientist – I | B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc | as per norms |
Detailed Eligibility:
Data Scientist – I:
Bachelors or Masters degree in a quantitative field with 0-2 years of industry/research lab experience
Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles
Depth and hands-on experience in applying ML/DL, statistical techniques to business problems
Experience working with ‘big data’ and shipping ML/DL models to production
Strong proficiency in Python, SQL, Spark, Tensorflow
Strong spoken and written communication skills
Experience in the space of ecommerce and logistics.
What you will do
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.
About the Ads Monetization Team: 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.
How to Apply for Swiggy Off Campus Drive 2024?
Interested and eligible candidates can apply for the job online as soon as possible by following the link.
| Important Link | |
|---|---|
| apply Online | Click Here |
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