Swiggy Recruitment 2026
Swiggy
Key Responsibilities
- As a Data Scientist I at Swiggy, you will work closely with cross-functional teams (Engineers, Product Managers, and Data Analysts) to ship end-to-end data products—from formulating business problems into mathematical/ML terms to iterating on ML/DL algorithms and deploying inference solutions at scale.
- Leverage strong Machine Learning, Deep Learning, and statistical foundations to build next-generation ML models for ads recommendations and campaign optimization.
- Mine and extract insights from Swiggy’s massive historical datasets to solve complex business and customer experience (CX) challenges.
- Collaborate with engineering and product teams on technical designs, requirements, and deployment of end-to-end inference solutions at Swiggy scale.
- Stay updated with the latest research in Ads Bidding algorithms, Recommendation Systems, Generative AI, and Agentic AI/LLMs.
- Take ownership of data science projects from problem inception to production delivery.
- Work on high-impact algorithms in the e-commerce, ads performance, and logistics domains.
- Publish and present data science work across internal and external technical forums.
- Leverage strong Machine Learning, Deep Learning, and statistical foundations to build next-generation ML models for ads recommendations and campaign optimization.
- Mine and extract insights from Swiggy’s massive historical datasets to solve complex business and customer experience (CX) challenges.
- Collaborate with engineering and product teams on technical designs, requirements, and deployment of end-to-end inference solutions at Swiggy scale.
- Stay updated with the latest research in Ads Bidding algorithms, Recommendation Systems, Generative AI, and Agentic AI/LLMs.
- Take ownership of data science projects from problem inception to production delivery.
- Work on high-impact algorithms in the e-commerce, ads performance, and logistics domains.
- Publish and present data science work across internal and external technical forums.
Skills & Eligibility
- Education: Bachelor’s or Master’s degree in a Quantitative field (e.g., Computer Science, Statistics, Mathematics, Data Science, or related Engineering discipline).
- Experience: 1 to 3 years of hands-on industry or research lab experience in Data Science and Applied ML.
- Strong proficiency in Python, SQL, Apache Spark, and TensorFlow .
- Proven experience developing, tuning, and shipping ML and Deep Learning (DL) data products to production environments.
- Excellent problem-solving skills with an ability to deconstruct complex business issues using first-principles thinking.
- Hands-on experience with Big Data systems and large-scale model deployment pipelines.
- Exposure to Generative AI, Agentic AI, Large Language Models (LLMs), and Natural Language Processing (NLP) .
- Prior experience in e-commerce, ads bidding, recommendation engines, or logistics optimization is a strong plus.
- Strong written and spoken communication skills.
- Education: Bachelor’s or Master’s degree in a Quantitative field (e.g., Computer Science, Statistics, Mathematics, Data Science, or related Engineering discipline).
- Experience: 1 to 3 years of hands-on industry or research lab experience in Data Science and Applied ML.
- Strong proficiency in Python, SQL, Apache Spark, and TensorFlow .
- Proven experience developing, tuning, and shipping ML and Deep Learning (DL) data products to production environments.
- Excellent problem-solving skills with an ability to deconstruct complex business issues using first-principles thinking.
- Hands-on experience with Big Data systems and large-scale model deployment pipelines.
- Exposure to Generative AI, Agentic AI, Large Language Models (LLMs), and Natural Language Processing (NLP) .
- Prior experience in e-commerce, ads bidding, recommendation engines, or logistics optimization is a strong plus.
- Strong written and spoken communication skills.
Note: This job is posted on external sites. Joblit shares the listing for convenience and does not take responsibility for third-party content.
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