Location: Bangalore
About Us:
Data Science and applied ML is ingrained deeply in decision making and product development. 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.
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, we are
also maniacally focused about delivering pragmatic and scalable solutions.
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 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 scale.
● You will stay abreast with the latest in ML research for Ads Bidding algorithms,
Recommendation Systems related areas and help adapt it to problem
statements.
● You will publish and talk about your work in internal and external forums to both
technical and layman audiences.
Qualifications:
● Bachelors or Masters degree in a quantitative field with 0-2 years of industry/research
lab experience
● Required: Excellent problem solving skills, ability to deconstruct and formulate
solutions from first-principles
● Required: Depth and hands-on experience in applying ML/DL, statistical techniques to
business problems
● Preferred: Experience working with ‘big data’ and shipping ML/DL models to
production
● Required: Strong proficiency in Python, SQL, Spark, Tensorflow
● Required: Strong spoken and written communication skills
● Big plus: Experience in the space of ecommerce and logistics
