Data Scientist III
Meesho · Bengaluru
- Experience4–6 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted22 Sept 2026
About Meesho
Meesho is hiring in Bengaluru in ecommerce retail. This role looks for around 4+ years of experience.
Skills
- machine learning
- Python
- SQL
- R
- neural networks
- linear algebra
- statistical modeling
- hypothesis testing
- A/B testing
- machine learning algorithms
The role
A data scientist at a consumer marketplace company develops machine learning models for personalization, demand forecasting, and reseller insights, using Python and SQL to run experiments and guide product growth. The role applies statistical modeling, A/B testing, and neural networks to improve recommendations and operational decisions.
Full job description
Responsibilities:
Develop models and run experiments to infer insights from hard data.
Improve our product usability and identify new growth opportunities.
Understand reseller preferences to provide them with the most relevant products.
Design discount programs to help our resellers sell more.
Help resellers better recognize end-customer preferences to improve their revenue.
Use data to identify bottlenecks that will help our suppliers meet their SLA requirements.
Model seasonal demand to predict key organizational metrics.
Mentor junior data scientists in the team.
Requirements:
Bachelor's/Master's degree in computer science (or similar degrees).
4-6 years of experience as a data scientist in a fast-paced organization, preferably B2C.
Familiarity with neural networks and machine learning.
Familiarity with tools like SQL, R, Python, etc.
Strong understanding of STA SCs and linear algebra.
Strong understanding of hypothesis/model testing and ability to identify common model testing errors.
Experience designing and running A/B tests and drawing insights from them.
Proficiency in machine learning algorithms.
Excellent analytical skills to fetch data from reliable sources to generate accurate insights.
Experience in tech and product teams is a plus.
Bonus points for:
Experience in working on personalization or other ML problems.
Familiarity with big data tech stacks like Apache Spark, Hadoop, Redsh.