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.