Data Scientist

Job Description

Data Analysis and Modeling: Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Strategy Development: Collaborate with different teams to develop strategies based on data-driven insights for customer engagement and marketing solutions. Data Mining and Research: Conduct data mining and research to identify trends and patterns that can inform client strategies. Statistical Analysis: Apply statistical analysis to large data sets for targeted customer engagement strategies and decision-making. Client Reporting: Prepare reports for clients that effectively communicate trends, patterns, and predictions using relevant data. Collaboration: Work closely with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions. Qualifications: Master s or PhD in Statistics, Mathematics, Computer Science, or another quantitative field. Proven experience as a Data Scientist or Data Analyst (minimum 3 years). Experience with machine learning and AI. Knowledge of advanced statistical techniques and concepts and experience with applications. Excellent communication skills, with proficiency in English; Arabic is a plus. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Ability to work remotely in a structured manner with minimal supervision. What We Offer: A challenging and rewarding role in a dynamic and growing industry. The opportunity to work with diverse clients across the GCC region. Competitive salary and benefits package. Professional development and continuous learning opportunities. Supportive, innovative, and collaborative work environment. Note: This job description is intended as a guide and may be adjusted based on the specific needs of the agency and the evolving nature of the role.

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