Job Description

What will you get to do here
You will leverage your solid ML/DL/Statistics background to build current 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 Swiggys 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 Swiggys problem statements.
You will publish and talk about your work in internal and external forums to both technical and layman audiences.
Prospect 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
3 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 Qualifications
3 to 5 years of industry/research lab experience
Masters degree in areas related to Applied Mathematics, Machine Learning, Statistics

This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Scientist Ii Bengaluru
🏢 Swiggy
📍 Bengaluru