{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"

Requirements:

1+ year of experience working with machine learning algorithms for classification or regression problems.
Python Programming: Strong Python skills with hands-on experience using libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib / Seaborn.
Data Handling: Experience working with datasets for cleaning, preprocessing, and feature engineering.
SQL Knowledge: Ability to write SQL queries to extract and manipulate data.
ML Concepts: Understanding of key concepts such as model evaluation, cross-validation, overfitting, and feature importance.
Version Control: Familiarity with Git for collaborative development.
Problem Solving: Strong analytical thinking and ability to approach business problems using data.
Preferred Qualifications: Education: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related quantitative field.
Domain Knowledge: Familiarity with fintech, credit risk, or business analytics domains.
Automation and MLOps: Basic understanding of model deployment, monitoring, or pipeline automation tools.

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