Data Scientist

• Term: 12 months

• Job location:Riyadh and Jeddah, KSA
• Project scope:Develop Machine Learning Models leveraging Client data

• Experience: 4+years as a Data Scientist with hands on experience in building Machine Learning models

• Language:English proficiency. Arabic is an advantage

Job Summary:

The Data Scientist will develop and validate predictive models using machine learning techniques. The role involves working with cross-functional teams to develop select use cases.

The roles and responsibilities of the Data Scientistare as follows:

• 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

The Data Scientistwill fulfill the following requirements:

• 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 stakeholder management skills

• 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

• Proficiency in SAS, SAS EM, and Python