Job Description

Responsibilities

  • Clean, explore, and analyze transaction and application data using Python and SQL.
  • Build and evaluate simple supervised models and baseline experiments.
  • Create features and run feature importance/interpretability checks.
  • Write clear SQL queries and Python scripts for data pipelines and ad-hoc analysis.
  • Produce concise reports and visualizations to communicate findings to product and engineering teams.
  • Collaborate with senior data scientists and engineers to deploy and monitor models.
  • Learn and follow best practices: version control, reproducible notebooks, and unit testing for data code.

We are looking for

  • Education : Bachelors in Data Science, CS, CE, SE.
  • Experience : Fresh Candidate

Skills

  • Proficient in Python (pandas, numpy, basic ML libraries).
  • Strong SQL skills for data extraction and aggregation.

Ready to Apply?

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