Data Scientist

Responsibilities Developing Statistical model/ Scorecards Credit Risk Models independently Engage in advanced data analysis to uncover trends and correlations. Utilize statistical methods and tools to drive insightfu recommendations for business strategies and process improvements. Use the data insights to design develop and build scalable and advanced machine learning models algorithms and implement them in production through robust systems and architectures. Work closely with stakeholders across various departments including product business analytics marketing operations and tech teams and influence business strategy. Be abreast of the advanced research and techniques in the deep-learning and artificial intelligence space and conduct experiments to give the best output. Identify develop manage and execute data analyses to uncover areas of opportunity and present business recommendations to drive cost benefit analysis and go/no-go decisions on various initiatives. Develop a roadmap and metrics to measure progress of the initiative they own. Lead initiatives for full-scale automation in collaboration with data engineering teams enhancing data accuracy and operational efficiency.

Key Skills Data Visualization Skill. Machine Learning. Programming Languages. Linear Algebra and Calculus. Cloud Computing Skills. Statistical Analysis. Big Data Skills. SQL Skills.

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