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Salary
$21k – $54k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 4+ years exp
Employment
Contractor
Overview
Company
Impact
Profile match
Meesho is an Indian e-commerce company headquartered in Bengaluru and founded in 2015. The company operates an online marketplace that enables small businesses and individual entrepreneurs to sell products such as apparel, home goods, and electronics directly to consumers. Originally established as a social commerce platform facilitating sales through networks like WhatsApp and Facebook, it has evolved into a large-scale retail ecosystem serving millions of users across India.

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 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, 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, and Redshift.
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