Data Scientist 2

Meesho · Bengaluru

  • Experience6–9 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
  • Posted2 Sept 2026
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About Meesho

Meesho is hiring in Bengaluru in ecommerce retail. This role looks for around 6+ years of experience.

Skills

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • SQL
  • Python
  • PyTorch
  • TensorFlow
  • Statistics
  • Linear Algebra
  • Hypothesis Testing
  • Machine Learning Algorithms

The role

A data scientist at an e-commerce marketplace develops machine learning, recommender systems, and computer vision models for product discovery, seller success, fraud detection, fulfillment, and monetization, applying Python and PyTorch to experiments and predictive insights. Statistical modeling and hypothesis testing support seasonal demand forecasting and product growth.

Full job description

Responsibilities:

Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities.

Develop state of the art ranking and recommender systems that understand userpreferences to provide them with the most relevant products across different touchpoints on the app.

Develop computer vision led systems to help sellers list products effectively and succeedon Meesho Catch frauds and make order fulfillment more efficient.

Develop best in class ML applications in Ads and Monetisation that help trade offobjectives in seller ROI, user experience and revenue.

Model seasonal demand to predict key organisational metrics.

Requirements:

Bachelor's/Master's degree in computer science (or similar degrees).

Good grasp on variety of topics in Deep Learning, Machine Learning, Computer Visionetc.

Familiarity with tools like SQL, Python, PyTorch, Tensorflow etc.

Strong understanding of Statistics and Linear Algebra.

Strong understanding of hypothesis/model testing.

Proficiency in machine learning algorithms.

Excellent analytical skills to fetch data from reliable sources to generate accurateinsights.

Experience in tech and product teams is a plus.

Bonus points for: Experience in working on recommender systems, graph machine learning, largemultimodal models, diffusion models etc.

Familiarity with Big Data tech stacks like Apache Spark, Flink etc.