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212 Swiggy Jobs
Data Scientist II
Swiggy
posted 8hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- You will leverage your strong ML/DL/Statistics background to build new and next generation of ML based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve the campaign performance.
- You will mine and extract relevant information from Swiggys massive historical data to help ideate and identify solutions to business and CX problems.
- You will work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale.
- You will stay abreast with the latest in ML research for Ads Bidding algorithms, Recommendation Systems related areas and help adapt it to Swiggys problem statements.
- You will publish and talk about your work in internal and external forums to both technical and layman audiences.
- Opportunity to work on challenging and impactful projects in the logistics domain.
- Collaborative and supportive work environment that fosters learning and growth.
- Conduct data analysis and modeling to identify opportunities for optimization and automation.
- Bachelors or Masters degree in a quantitative field with 3-5 years of industry/research lab experience
- Experience in Generati ve AI, Applied Mathematics, Machine Learning, Statistics
- Required: Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles
- Required: Depth and hands-on experience in applying ML/DL, statistical techniques to business problems
- Preferred: Experience working with big data and shipping ML/DL models to production
- Required: Strong proficiency in Python, SQL, Spark, Tensorflow
- Required: Strong spoken and written communication skills
- Big plus: Experience in the space of ecommerce and logistics
- Experience in Agentic AI , LLMS and NLP,
- Previous experience in deep learning, operations research, and working in startup or product-based consumer/internet companies is preferred
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment
Employment Type: Full Time, Permanent
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