
Data Strategy Specialist
6 days ago
We're seeking a skilled Data Analyst to join our team.
Job Overview:As a key member of our data science department, you will play a crucial role in driving business growth through data-driven insights and innovative solutions.
Key Responsibilities:- Collect, clean, and preprocess large datasets from multiple sources to gain valuable business insights.
- Develop 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 to inform business decisions.
- Apply statistical models and machine learning techniques to predict trustworthiness and identify areas for improvement.
- Develop scoring frameworks normalized to a range (0-1000) to support business objectives.
- 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.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
- 2-5 years of experience as a Data Scientist, preferably in credit scoring, risk modeling, or fraud detection.
- Strong proficiency in Python (pandas, numpy, scikit-learn, statsmodels) or R.
- Experience with machine learning algorithms such as logistic regression, decision trees, random forests, gradient boosting, and neural networks.
- Strong SQL skills for handling large datasets; experience with data pipelines and API integrations.
- Domain knowledge of credit scoring principles, risk assessment, and regulatory considerations.
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