Job Overview
Work Model: Remote
Employees will work remotely throughout the year, with the opportunity to come together at their base location for one week, once every quarter.Data Science at Swiggy
Data Science and applied Machine Learning (ML) play a crucial role in decision-making and product development at Swiggy. Data scientists collaborate with cross-functional teams to develop and implement data-driven solutions. From translating business problems into ML models to deploying them in production, our team ensures a measurable impact on customer experience and business metrics. We foster a culture of open idea-sharing and support publishing work through internal and external platforms.About the Ads Monetization Team
This team is responsible for building and optimizing ML solutions for the full ads lifecycle in both the Food and Instamart business lines. We handle everything from selecting the right ads and pricing them, to targeting personalized user responses through optimized, scalable models. Given the high throughput and low latency nature of the ads system, we focus on delivering pragmatic, high-performance solutions.Key Responsibilities
- Utilize your expertise in ML, deep learning, and statistics to create innovative solutions for ads recommendation and campaign optimization.
- Analyze Swiggy’s vast historical data to ideate and develop solutions for business and customer experience (CX) challenges.
- Collaborate with engineers, product managers, and analysts to define requirements and implement end-to-end inference solutions at scale.
- Stay updated with the latest advancements in Ads Bidding algorithms, recommendation systems, and related areas, and apply this research to Swiggy’s needs.
- Present and discuss your work in internal and external forums for both technical and non-technical audiences.
Qualifications
- Bachelor’s or Master’s degree in a quantitative field with 0-2 years of experience in industry or research labs.
- Strong problem-solving skills, with the ability to break down and address issues from first principles.
- Hands-on experience with ML/DL and statistical techniques to solve business problems.
- Proficiency in Python, SQL, Spark, and TensorFlow.
- Strong communication skills, both written and spoken.
- Preferred: Experience with big data and deploying ML/DL models in production.
- Big Plus: Experience in e-commerce or logistics.
- Don’t miss out, CLICK HERE (to apply before the link expires)
