Data Scientist II
Meesho · Bengaluru
- Experience2–4 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelmid
- Posted2 Sept 2026
About Meesho
Meesho is hiring in Bengaluru in ecommerce retail. This role looks for around 2+ years of experience.
Skills
- Machine Learning
- Neural Networks
- SQL
- R
- Python
- Statistics
- Linear Algebra
- A/B testing
- Machine Learning Algorithms
The role
A data scientist at a consumer marketplace company develops machine learning models and designs A/B tests to improve personalisation and demand forecasting, applying Statistics and Python to guide product growth and supplier performance. Neural Networks and Apache Spark support experimentation and scalable insight generation.
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.
Designing discount programs to help our resellers sell more.
Help resellers better recognise 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 organisational metrics.
Mentor junior data scientists in the team.
Requirements:
Bachelor's/Master's degree in computer science (or similar degrees).
2-4 years of experience as a Data Scientist in a fast-paced organisation, preferably B2C.
Familiarity with Neural Networks, Machine Learning, etc.
Familiarity with tools like SQL, R, Python, etc.
Strong understanding of Statistics 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 personalisation or other ML problems.
Familiarity with Big Data tech stacks like Apache Spark, Hadoop, and Redshift.