Senior Data Scientist

Role Description The Senior Data Scientist role at Saudi Inteltec is a part-time remote position focused on driving data-informed decision-making across telecom, ICT, and related business units. The individual in this role will design and implement advanced analytical models, including predictive and prescriptive solutions, to support network performance optimization, customer behavior analysis, and operational efficiency. Day-to-day responsibilities include collecting and cleaning complex datasets, performing exploratory data analysis, building statistical and machine learning models, and creating dashboards and visualizations for stakeholders. The Senior Data Scientist will collaborate with engineering, operations, and business teams to translate business challenges into data science use cases, communicate findings clearly, and recommend practical actions. The role also involves mentoring junior analysts or data scientists, contributing to data governance best practices, and staying current with emerging tools and methodologies relevant to large-scale telecom and ICT environments.QualificationsCandidates should possess strong skills in Data Science and Data Analytics, including experience with machine learning workflows and end-to-end model development.Candidates should possess solid knowledge of Statistics and Data Analysis, with the ability to design experiments, validate models, and interpret complex results.Candidates should possess proficiency in Data Visualization, using modern tools to build clear, actionable dashboards and reports for technical and non-technical audiences.Candidates should possess experience with programming languages commonly used in data science (such as Python or R) and relevant libraries or frameworks.Candidates should possess familiarity with databases, SQL, and cloud or on-premise data platforms used in large-scale telecom or ICT operations.Candidates should possess strong problem-solving skills, collaborative communication abilities, and experience working in cross-functional, remote teams.Relevant academic background such as a bachelor’s or master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field is highly beneficial.Experience in telecom, networking,