Senior Data Scientist
: Job Details :

2 years of practical experience working as a data scientist applying machine learning to real-world problems. Great communication skills to articulate technical aspect of model development to internal and external customers. Exposure to credit portfolio management, loss forecasting and risk management. Excellent understanding of machine learning techniques and algorithms, i.e., Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting etc. Experience with common data science toolkits, such as R, Python, Anaconda, Tensor. Flow, SQL, Scikit-learn, Keras. Proven applied statistics skills, such as distributions, statistical testing, regression, regulation. Logical, evidence-based problem solving and critical thinking skills. We'd Love to See:Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline. Working familiarity with cloud...Data Scientist, Scientist, Senior, Technology, Data