Data Scientist - Machine Learning/Predictive Modeling

Job Description : - 3+ years exp on Python, ML and Banking model development.- Interact with the client to understand their requirements and communicate / brainstorm solutions.- Contribute to how analytical approach is structured for specification of analysis.- Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems.- 3+ years exp on ML/Python (predictive modelling).- PD/LGD model development.- Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business.- Create experiments and prototype implementations of new learning algorithms and prediction techniques.- Collaborate with product managers, and stockholders to design and implement software solutions for science problems.- Use machine learning best practices to ensure a high standard of quality for all of the team deliverables.- Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization.- Text classification using any of the following: decision trees, knn classification, support vector machines or LDA.- Exp on SQL would be a plus. (ref: hirist.tech) Job Description : - 3+ years exp on Python, ML and Banking model development.- Interact with the client to understand their requirements and communicate / brainstorm solutions.- Contribute to how analytical approach is structured for specification of analysis.- Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems.- 3+ years exp on ML/Python (predictive modelling).- PD/LGD model development.- Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business.- Create experiments and prototype implementations of new learning algorithms and prediction techniques.- Collaborate with product managers, and stockholders to design and implement software solutions for science problems.- Use machine learning best practices to ensure a high standard of quality for all of the team deliverables.- Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization.- Text classification using any of the following: decision trees, knn classification, support vector machines or LDA.- Exp on SQL would be a plus. (ref: hirist.tech)