1. Minimum of 2 years of work experience in Data Science.
2. Experience in Data Science in application to lending & finance.
3. Bachelor or master’s degree in Engineering, Computer Science, Operational Research, Statistics, Mathematics, Physics or a related field.
4. Mastery of Python, SQL, and Python ML libraries.
5. Solid knowledge of applied statistics and machine learning.
6. Experience of building / deploying models and maintaining them in production.
7. Experience in data science models for credit/risk/fraud.
8. Experience with PyTorch, Tensorflow, sci-kit-learn, pandas, matplotlib, Keras, etc.
9. Experience with natural language processing and social network analysis.
10. Competitive experience on Kaggle, ACM ICPC, IMO/IOI (Big Plus).