Swiggy Data Science Job Alerts | Work From Home

Qualifications

• Bachelors or Masters degree in a quantitative field with 3-5 years of industry/research lab experience
• Experience in Generative AI, Applied Mathematics, Machine Learning, Statistics
• 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

Job Description & Responsibilities:

• 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.

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.
• Swiggy own or co-own several initiatives with a direct line of sight to impact on customer experience as well as business metrics. Also encourage open sharing of ideas and publishing in internal and external avenues