onsite
Data Science Manager Credit Analytics - GoTymeX
Data Scientist
Lead a credit analytics team, delivering end‑to‑end risk models and insights using Python, SQL and machine learning while mentoring junior data scientists.
About the role
Key Responsibilities
- Design, develop, and deploy credit risk models using machine learning and statistical techniques on customer, bureau, transactional, and repayment data.
- Perform data extraction, cleaning, and feature engineering in Python and SQL to support model development and ongoing monitoring.
- Provide hands‑on technical guidance and mentorship to junior data scientists, ensuring best practices and consistent standards across locations.
- Collaborate with product, engineering, and risk teams to translate analytical findings into actionable credit strategies and business decisions.
- Monitor model performance, conduct validation, and implement model governance processes.
Requirements
- 5+ years of experience in data science or analytics, with at least 2 years in a leadership or managerial role.
- Strong proficiency in Python, SQL, and machine‑learning libraries (e.g., scikit‑learn, XGBoost, TensorFlow).
- Deep understanding of credit risk modeling, statistical analysis, and model validation techniques.
- Proven ability to communicate complex analytical insights to non‑technical stakeholders.
- Experience with data visualization tools (e.g., Tableau, Power BI) and version‑control systems (e.g., Git).
Skills
pythonsqlmachine learning