Data Scientist

Supports the marketing team in defining how digital performance is measured through conducting, analyzing and measuring performance of digital marketing campaigns by monitoring marketing and sales trends.

Key Responsibilities & Accountabilities:

• Ensure appropriate tracking is in place across all marketing activity.
• Research the Egyptian market and other markets including competitor analysis along with market trends.
• Defines and measures the effectiveness and performance of marketing programs and strategies in conjunction with Marketing.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Convert complex data and findings into understandable tables, graphs, and written reports.
• Carry out qualitative and quantitative research and analysis.
• Analyze company data to discover past trends and identify correlations.
• Monitor and forecast marketing and sales trends.
• Develop solutions that bring critical insights to a wide range of different problems such as targeting customers and segmenting markets.
• Works to build a performance marketing engine across tracking, attribution, automation and optimization.
• Collaborate with agile squads to improve data infrastructure and contribute to a seamless research platform.
• Track KPIs and define measures for action.

Requirements

• Bachelor's degree in data science, business, economic, mathematics, statistics, or equivalent.

• Minimum of 5-7 years of experience manipulating data sets and building statistical models.
• Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• Strong quantitative and analytical skills and aptitude, and an ability to work with significant amounts of data, both numerical and qualitative.
• Proven track record in a multi-disciplinary Digital/Tech environment.
• Understanding the evolving Digital/Tech marketplace and how those opportunities and changes fit within the banking environment.
• Driven to identify and implement continuous improvement.
• Awareness and understanding of agile methodologies and lean principles.
• Excellent written/verbal communication and presentation skills.
• Excellent Project Management skills.