Data Scientist

Overview

• Experience: 4+ years as a Data Scientist with hands-on experience in building Machine Learning models
• Language: English proficiency. Arabic is an advantage

• Develop, and assist in implementation of predictive models using machine learning techniques for various business needs, such as pro-active retention, finding hidden affluent customers, customer segmentation, and identifying target segments for below the line marketing campaigns
• Lead end-to-end data science project from data collection, cleaning, preprocessing, exploratory data analysis, feature engineering, model development and validation
• Manage end-to-end data science projects, including problem definition
• Collaborate with client internal stakeholders to define project scope, deliverables, and timelines
• Work closely with Data Engineering teams to establish data pipelines and infrastructure for efficient model development and deployment
• Communicate insights and recommendations to non-technical stakeholders through visualizations, presentations, and reports
• Actively and efficiently liaison with Mastercard Teams;
• Monitoring and ongoing analysis of progress
• Provide comprehensive model documentation at the end of the project and plan project handover initiatives

• Over 4+ years of hands on Data Science experience with a strong focus on predictive modeling and machine learning in a financial services or related industry
• Proven experience in managing end-to-end data science projects, from concept to deployment and maintenance. Should be capable of executing tasks independently once the scope is defined
• Strong problem-solving skills with a focus on data-driven decision-making
• Ability to analyze large datasets, identify trends, and generate actionable insights
• Excellent verbal and written communication skills, with the ability to explain complex data science concepts to non-technical stakeholders
• Ability to work collaboratively in a team environment and influence stakeholders across various functions
• Masters or PhD in Data Science, Statistics, Mathematics, Computer Science, or a related field