Data Scientist II

Swiggy is redefining the convenience economy through speed, scale, and service. We're looking for a highly motivated Data Scientist with experience in Operations Research, Optimization, and Machine Learning to join our fast paced, impact-driven team.

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

• 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.

• 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

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