Swiggy Data Scientist II Job in Bangalore: Apply Now
Swiggy is actively hiring for Data Scientist II positions at their Bangalore office. These Swiggy Data Scientist II Jobs in Bangalore are tailored for applied machine learning professionals with 3 to 5 years of experience who want to solve complex problems at a massive scale using a core tech stack encompassing Machine Learning, Deep Learning, Big Data, and advanced Recommendation Systems.
You will join a leading consumer tech platform to directly influence customer experience, logistics, and ads campaign performance. This position offers a highly impactful platform to mine massive historical datasets, formulate complex business problems into mathematical terms, and ship end-to-end ML data products into production.
Quick Job Details
What You'll Do
As a Data Scientist II at Swiggy, your day-to-day workflow will center on building and deploying data-driven solutions to optimize business and user experiences.
- Improve the quality of ads recommendation systems and utilize optimization techniques to maximize campaign performance and Ads Bidding algorithms.
- Formulate complex business problems into mathematical and ML terms, iterating on various Machine Learning and Deep Learning methods until production-ready.
- Collaborate closely with cross-functional teams, including software developers, product managers, and data analysts, to define detailed requirements and technical designs.
- Implement and deploy end-to-end inference solutions that operate reliably at Swiggy’s massive consumer scale.
- Take true ownership of data science projects from inception through to delivery, ensuring high-quality results.
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What You Need (Requirements)
Candidates must possess strong theoretical foundations, practical engineering skills, and a proven track record of shipping production-grade ML models.
- Hold a Master’s degree in areas related to Applied Mathematics, Machine Learning, or Statistics.
- Possess 3 to 5 years of professional experience in an industry or research lab setting.
- Demonstrate deep, hands-on experience in Machine Learning, Deep Learning, and Statistics.
- Bring expertise in Recommendation Systems and Ads Bidding algorithms.
- Show a proven history of having successfully shipped ML data products and integrated data-driven solutions into production systems.
- Maintain strong experience working across the Software Development Life Cycle (SDLC) alongside software developers, PMs, and analysts.
- Benefit from previous experience working with Deep Learning frameworks in startups or product-based consumer/internet companies as a strong preference.
- Exhibit results-oriented teamwork and a very strong sense of project ownership.
Tech Stack
💡 Gigsdock Pro-Tip
To successfully land Swiggy Data Scientist II Jobs in Bangalore, your resume should clearly outline the ML products you have successfully shipped to production, detailing the business impact your models achieved, especially if you have experience with recommendation engines or ad bidding optimization. During the technical interview, expect rigorous discussions surrounding both the theoretical mathematics behind your models and the practical engineering required to deploy them at scale. Be prepared to explain how you handle massive datasets and collaborate with software engineers to integrate your inference solutions into existing architectures.
⚠️ Disclaimer & Important Information
- Never pay any amount for getting a job.
- Apply before the hiring closes or the employer stops accepting applications.