Data Scientist

PayTech Nexus Ltd; Riyadh; On-site; SAR 120,000 - 150,000; Full time

Job summary

A leading company in the financial services sector is seeking a Data Scientist to develop and validate predictive models using machine learning techniques. The role involves collaborating with cross-functional teams to address business needs through data-driven insights and effective communication.

Qualifications

• Over 4 years of hands-on Data Science experience.
• Proven experience managing end-to-end data science projects.

Responsibilities

• Develop predictive models for business needs.
• Lead end-to-end data science projects.
• Collaborate with stakeholders to define project scope.

Skills

Problem Solving

Data Analysis

Communication

Education

Masters in Data Science

PhD in Data Science

Job description

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.

Roles and Responsibilities:

• Develop and assist in the implementation of predictive models for various business needs, such as proactive retention, identifying affluent customers, customer segmentation, and targeting for marketing campaigns.
• Lead end-to-end data science projects, including data collection, cleaning, preprocessing, exploratory data analysis, feature engineering, model development, and validation.
• Manage data science projects from problem definition to deployment and maintenance.
• Collaborate with internal stakeholders to define project scope, deliverables, and timelines.
• Work with Data Engineering teams to establish data pipelines and infrastructure for model development and deployment.
• Communicate insights and recommendations to non-technical stakeholders through visualizations, presentations, and reports.
• Coordinate with Mastercard Teams effectively.
• Monitor and analyze project progress continuously.
• Provide comprehensive documentation and plan project handover initiatives.

Requirements:

• Over 4 years of hands-on Data Science experience, focusing on predictive modeling and machine learning, preferably in financial services or related industries.
• Proven experience managing end-to-end data science projects, capable of executing tasks independently once 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 concepts to non-technical stakeholders.
• Ability to work collaboratively and influence stakeholders across functions.
• Masters or PhD in Data Science, Statistics, Mathematics, Computer Science, or a related field.