Swiggy Hiring Data Scientist I (0-3 Yrs) in Bangalore

About the Team and Role

Data Science and applied machine learning are deeply embedded in decision making and product development at Swiggy. Data scientists collaborate closely with cross-functional teams to deliver end-to-end data products, starting from defining business problems in mathematical or ML terms to experimenting with ML and DL methods and deploying them into production.

The team leads several initiatives that directly influence customer experience and business metrics. There is also an active culture of knowledge sharing, including internal discussions and external publications.

Key Responsibilities

• Apply machine learning, deep learning, and statistical methods to develop next-generation ML solutions that enhance ad recommendation quality and improve campaign performance.
• Analyze and mine large volumes of historical data to uncover insights and help address business and customer experience challenges.
• Work with engineers, product managers, and analysts to define detailed requirements, design technical solutions, and implement large-scale inference systems.
• Stay updated with advancements in ML research related to ads bidding algorithms and recommendation systems, adapting them to Swiggy use cases.
• Share research and project outcomes through internal and external forums for both technical and non-technical audiences.
• Contribute to impactful projects within the logistics domain.
• Collaborate with software developers and product managers to integrate data-driven solutions into production systems.
• Design, build, and deploy machine learning and deep learning models.
• Own projects from initial concept through delivery while maintaining high quality results.

Required and Preferred Qualifications

• Bachelor's or Master's degree in a quantitative discipline with 0 to 3 years of industry or research lab experience.
• Strong ability to break down complex problems and develop solutions using first-principles thinking.
• Hands-on experience applying machine learning, deep learning, and statistical techniques to business problems.
• Experience working with large datasets and deploying ML or DL models to production is preferred.
• Proficiency with Python, SQL, Spark, and TensorFlow.
• Experience with Generative AI, agentic AI, LLMs, or NLP is beneficial.
• Background in ecommerce or logistics environments is considered an advantage.
• Demonstrated experience building and deploying ML or DL based data products.

Swiggy is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, colour, religion, sex, disability status, or other characteristics protected by law.