Envision Employment Solutions is currently looking for a Data Scientist for one of our partners, a multinational bank.

Job Summary:

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

Responsibilities:

• 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, economics, mathematics, statistics, or equivalent
• A 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 and disadvantages
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, 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 entity's environment
• Driven to identify and implement continuous improvement
• Awareness and understanding of agile methodologies and lean principles 
• Excellent written and verbal communication and presentation skills
• Excellent Project Management skills

Benefits

• Competitive Salary based on experience
• Transportation and mobile allowance
• Profit Share
• Social and medical insurance
• Learning, development and career progression