Data Scientist I View Jobs

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

What will you get to do here?

• 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.
• Opportunity 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.

• Bachelors or Masters degree in a quantitative field with 1-3 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
• Experience in Generative AI
• Proven track record of developing and shipping ML and DL data products
• Experience in Agentic AI , LLMS and NLP
• Proficiency in Python