Way of working - Remote: Employees will
have the freedom to work remotely all through the year. These employees, who
form a large majority, will come together in their base location for a week,
once every quarter.
Data Science at Swiggy
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.
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 at Swiggy, 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 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.
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
- Seniority
level
Associate
- Employment type
Full-time
- Job
function
Information Technology
- Industries
Software Development
Important Links:
