Data Scientist

PayTech Nexus Ltd; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A financial services company in the Riyadh Region is looking for an experienced Data Scientist to develop and implement predictive models using machine learning techniques. The ideal candidate will have over 4 years of experience in Data Science and proven skills in managing data science projects. Strong communication skills are required to explain complex data concepts to non-technical stakeholders, and proficiency in English is essential.

Qualifications

• 4+ years of experience in Data Science with a focus on predictive modeling.
• Proven ability to manage data science projects independently.
• Excellent communication skills to explain complex concepts.

Responsibilities

• Develop and implement predictive models using machine learning techniques.
• Lead data science projects from data collection to deployment.
• Collaborate with stakeholders to define project scope and deliverables.

Skills

Machine Learning

Predictive Modeling

Data Analysis

Problem-Solving

Education

Masters or PhD in Data Science, Statistics, Mathematics, Computer Science

Job description

Overview

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


• Language: English proficiency. Arabic is an advantage

Responsibilities

• 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

Qualifications

• 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