At Swiggy, data science and applied machine learning are deeply integrated into decision-making and product development. Our data scientists collaborate with cross-functional teams to build cutting-edge data products, optimizing both customer experience and business outcomes. We encourage knowledge sharing and innovation, fostering a culture of research and learning.
Job Details:
Job Title: Data Scientist II
Location: Remote
Experience: 3 – 5 Years
Role & Responsibilities
As a Data Scientist II, you will:
- Develop advanced Machine Learning (ML) and Deep Learning (DL) solutions to enhance ad recommendations and optimize campaign performance.
- Analyze massive historical data to derive insights and propose business solutions.
- Collaborate with engineers, product managers, and analysts to define technical designs and implement scalable inference solutions.
- Stay updated with cutting-edge research in Ads Bidding Algorithms, Recommendation Systems, and other relevant fields, integrating new methodologies into Swiggy’s systems.
- Present findings and solutions in internal and external forums to both technical and non-technical audiences.
Required Qualifications
- Bachelor’s or Master’s degree in a quantitative field (Computer Science, Mathematics, Statistics, etc.).
- 3-5 years of experience in Machine Learning, Deep Learning, and Applied Mathematics.
- Strong problem-solving abilities, capable of formulating solutions from first principles.
- Hands-on experience in ML/DL, statistical modeling, and big data analytics.
- Expertise in Python, SQL, Spark, TensorFlow.
- Excellent communication skills (both verbal and written).
Preferred Qualifications
- Experience working with large-scale data and deploying ML/DL models in production.
- Background in e-commerce, ad tech, or logistics.
- Prior experience with Generative AI and advanced optimization techniques.
Why Join Us?
- Work in a high-impact environment with cutting-edge technology and real-world applications.
- Collaborate with top-tier talent in AI, ML, and data science.
- Contribute to Swiggy’s vision of leveraging AI to revolutionize food delivery, convenience, and advertising.
- Access to continuous learning, research opportunities, and knowledge-sharing platforms.
Learn More
Check out our tech blogs for insights into the challenges and innovations at Swiggy:
Equal Opportunity Employer
Swiggy is an equal opportunity employer. We consider all qualified applicants regardless of race, color, religion, gender, disability status, or any other legally protected characteristic.
How to Apply:
To apply, visit our careers page: Apply Here