Associate Data Scientist

• 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.
• Clear communicator, curious, and willing to learn.
• Familiarity with scikit-learn, XGBoost, or basic ML workflows.
• Exposure to Spark, Docker, or cloud environments.
• Experience with Jupyter notebooks, Git, and simple data visualization (matplotlib/plotly).
• Any coursework or projects related to fraud detection, time-series, or classification problems.