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

Employment type
Full-time

Work arrangement
Hybrid