Opportunity at
SwiggyData Scientist II
Based in Bengaluru, Swiggy's Data Scientist II role is a full-time, on-site position for someone with three to five years of industry or research lab experience…
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About This Role
Based in Bengaluru, Swiggy's Data Scientist II role is a full-time, on-site position for someone with three to five years of industry or research lab experience and a master's degree in applied mathematics, machine learning, statistics or a closely related area. The job is to develop new ML-based solutions that improve ad recommendations and campaign results, drawing on Swiggy's very large body of historical data. The data scientist takes projects…
Job Description
Based in Bengaluru, Swiggy's Data Scientist II role is a full-time, on-site position for someone with three to five years of industry or research lab experience and a master's degree in applied mathematics, machine learning, statistics or a closely related area. The job is to develop new ML-based solutions that improve ad recommendations and campaign results, drawing on Swiggy's very large body of historical data.
The data scientist takes projects from idea to delivery. That means defining requirements with engineers and product managers, designing end-to-end inference solutions, and shipping models that hold up at scale. The role also expects the holder to follow research on ad bidding and recommendation systems and adapt useful methods to Swiggy's problems. Presenting results to technical and general audiences, both inside and outside the company, is part of the expectation.
Successful candidates have a hands-on background in applying machine learning to big data and a record of getting ML data products into production. The posting describes a results-driven colleague who takes ownership seriously and is comfortable collaborating with engineers, product managers and the wider development process. Deep learning experience is preferred, and prior work at startups or consumer internet product companies is viewed favourably.
Responsibilities
- Design end-to-end inference solutions for ads recommendation and campaign optimisation
- Define requirements and technical designs with engineers and product managers
- Take projects from inception to delivery with a focus on impact and quality
- Keep up with research on ads bidding and recommendation systems
- Share findings through internal and external talks and publications
Requirements
- Master's degree in applied mathematics, machine learning, statistics or a related area
- Three to five years of industry or research lab experience
- Hands-on depth with machine learning on big data
- A history of shipping ML data products
- Experience collaborating with engineers, product managers and the development process
Qualifications
- Deep learning experience (preferred)
- Background at startups or consumer-facing product firms (preferred)
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the job?
The posting lists Bengaluru, and the role is on-site.
How much experience is needed?
Three to five years of industry or research lab experience is required.
What degree is required?
A master's degree in applied mathematics, machine learning, statistics or a related area.
What is the salary?
The posting does not specify a salary.
Sample Interview Questions
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