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7 days ago
We are on the lookout for an experienced Data Scientist to spearhead our data-driven initiatives and drive business growth.
Job DescriptionThe ideal candidate will have a strong background in computer science, statistics, or mathematics, and experience working with Python, R, or other programming languages. They will also possess excellent analytical and problem-solving skills, as well as strong communication skills to present findings to technical and business stakeholders.
Key Responsibilities:- Collect, clean, and preprocess large datasets from multiple sources.
- Design and implement trust/credit scoring algorithms that assess buyer/seller reliability and default risk.
- Engineer features from trade history, payment timeliness, disputes, cancellations, and external market data.
- Apply statistical models and machine learning techniques (logistic regression, random forests, gradient boosting, neural networks) to predict trustworthiness.
- Develop scoring frameworks normalized to a range (e.g., 0-100), similar to CIBIL standards.
- Validate and back-test models against historical data to ensure accuracy, fairness, and stability.
- Build monitoring pipelines to track score performance, drift, and anomalies in real time.
We offer a competitive salary range and a benefits package that includes health insurance, retirement savings, and opportunities for professional growth and development.
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