Data Scientist

Education First degree in any discipline preferably Software Engineering, Information Systems, Computer Science, Statistics or equivalent Master’s Degree in a relevant discipline will be an added advantage. Experience: 3+ years of work experience in Software Development and Data Science related projects in large organization. Knowledge in cloud computing technologies Worked across diverse cultures and geographies advantageous. Detailed working experience of data governance and standards. Drive business engagement with leaders (include BI teams) to support and implement high-quality, data-driven decisions. Create a “Model Factory” for Data Science Models and Algorithms to ensure governance. Building automated data pipelines and advanced analytics solutions based on multiple data sources Identify useful data and extend advanced analytics use-case development/ deployment like end-to-end machine learning model, advanced analytics, big data visualizations to entire company Prepare long-term evolution plans for in-house data science and analytics projects development Innovate and advance on existing data infrastructure as business use cases continue to emerge Design and implementation of modern Data APIs for internal and external data access Development of Advanced analytics and Machine Learning models Building Credit Scoring models for Micro-lending internally and third-party consumption Divisional people leadership activities: coaching, staff development and motivation through intra staff coaching, employee networks mentorship/support, own division employee engagement projects, faculty roles, inter/intra talent mentorship, etc.