Data Scientist
2 weeks ago
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
- 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
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