Swiggy is Hiring : Data Scientist I (Exp 0-3 yrs)

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Swiggy is hiring passionate Data Scientists (0–3 yrs experience). Work on cutting-edge ML/DL models, solve real-world problems, and shape customer experiences — all in a remote-first setup.

Swiggy is Hiring : Data Scientist I

Qualification: 

  • Bachelors or Masters degree in a quantitative field with 0-3 years of industry/research lab experience.
  • 2022/2023/2024/2025 Batches Can Apply
  • Strong analytical mindset with the ability to break down complex problems and develop solutions from the ground up.
  • Practical experience in implementing machine learning, deep learning, and statistical methods to tackle real-world business challenges.
  • Proficient in handling large-scale datasets and deploying ML/DL models into production environments.
  • Strong proficiency in Python, SQL, Spark, Tensorflow
  • Strong spoken and written communication skills
  • Experience in the space of ecommerce and logistics
  • Experience in Generative AI
  • Proven track record of developing and shipping ML and DL data products
  • Experience in Agentic AI , LLMS and NLP
  • Proficiency in Python

Responsibilities

  • Design and implement machine learning models to enhance ad recommendation systems and optimize campaign results.
  • Analyze large-scale historical data to generate insights and identify new opportunities for business and customer experience improvements.
  • Collaborate with engineers, analysts, and product managers to define technical specs and deliver robust data products.
  • Stay updated with the latest advancements in ML, DL, and recommendation algorithms, and explore their applicability to Swiggy’s needs.
  • Share your work through internal demos and external platforms, engaging both technical and non-technical audiences.
  • Drive innovation in logistics-related projects and contribute to high-impact business solutions.
  • Build and deploy production-level ML/DL models.

Location: Bangalore, Karnataka (Remote)

Click Here – Apply before the link expires

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