Swiggy Hiring Fresher Data Scientist in 2024
About the job
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 machine learning are deeply ingrained 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 the 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 Instagram 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 the next generation of ML-based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve 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, and 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 and 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 lay 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 and 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, and Tensorflow
- Required: Strong spoken and written communication skills
- Big plus: Experience in the space of e-commerce and logistics
About Swiggy
Swiggy is India’s leading on-demand delivery platform, with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500 cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, and a 2 lakh+ strong independent fleet of delivery executives, we deliver unparalleled convenience driven by continuous innovation.
Built on the back of robust ML technology and fueled by terabytes of data processed every day, Swiggy offers a fast, seamless, and reliable delivery experience for millions of customers across India.
From starting out as a hyperlocal food delivery service in 2014 to becoming a logistics hub of excellence today, our capabilities result not only in lightning-fast delivery for customers but also in a productive and fulfilling experience for our employees.
With Swiggy’s New Supply and the recent launches of Swiggy Instamart, Genie, Dineout, and Minis, we are consistently making waves in the market while continually growing the opportunities we offer our people.
*We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.