Data Scientist II
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
- Collaborate with cross-functional teams, including software developers and product managers, to integrate data-driven solutions into our systems
- Develop and deploy machine learning and deep learning models
- Take ownership of projects from inception to delivery, ensuring high-quality and impactful results.
What qualities are we looking for?
- Masters degree in areas related to Applied Mathematics, Machine Learning, Statistics
- 2 to 5 years of industry/research lab experience
- Technically hands-on with deep dive expertise in applying ML to big data
- History of having shipped ML data products
- Results-oriented team player with a strong sense of ownership
- Experience working with software developers, product managers and overall SDLC
- Experience in Deep Learning and previous experience in startups and/or product-based consumer/internet
- companies is preferred
2 to 5 years of industry/research lab experience
- Masters degree in areas related to Applied Mathematics, Machine Learning, Statistics
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.
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