Senior Data Scientist

Job description / Role

Job Description
- Design, develop, and implement complex data models and machine learning algorithms to address key business challenges.
- Analyze large datasets to extract actionable insights and support data-driven decision-making.
- Collaborate with cross-functional teams to understand business needs and translate them into data science solutions.
- Develop and validate predictive models and analytical tools to enhance business processes and strategies.
- Conduct advanced statistical analyses to support hypothesis testing and decision-making.
- Communicate findings and recommendations effectively through reports, visualizations, and presentations.
- Manage and optimize data workflows, ensuring data quality and integration across systems.
- Stay current with the latest data science trends, techniques, and technologies to drive innovation.
- Mentor junior data scientists and provide guidance on best practices and methodologies.
- Evaluate and refine models and algorithms to improve accuracy, performance, and business impact.

Personal Skills
- Strong communication, interpersonal, and presentation skills.
- Ability to multi-task and work under pressure.
- Excellent command of English.
- Excellent verbal and written communication skills; influencing skills and ability to work effectively in a geographically dispersed team.

Technical Skills
- Advanced Data Modeling: Expertise in designing and implementing complex data models and machine learning algorithms.
- Programming Languages: Proficiency in programming languages such as Python, R, or Scala for data analysis and model development.
- Statistical Analysis: Strong skills in statistical methods and techniques for data analysis and hypothesis testing.
- Machine Learning: Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or scikit-learn.
- Data Visualization: Ability to create compelling data visualizations and communicate insights using tools such as Tableau, Power BI, or Matplotlib.
- Data Management: Skills in managing and optimizing data workflows, ensuring data quality and integration across platforms.
- Analytical Thinking: Strong analytical and problem-solving skills for addressing complex business problems with data-driven solutions.
- Collaboration: Experience working with cross-functional teams to understand business needs and deliver data science solutions.
- Communication: Excellent ability to present findings and recommendations to both technical and non-technical stakeholders.
- Industry Trends: Awareness of emerging trends and technologies in data science and machine learning to drive innovation and continuous improvement.

About the Company

Giza Systems, a leading systems integrator in the MEA region, designs and deploys industry-specific technology solutions for asset-intensive industries such as the telecoms, utilities, oil and gas, hospitality and real estate among other market sectors. We help our clients streamline their operations and businesses through our portfolio of solutions, managed services, and consultancy practice. Our team of 1000 professionals are spread throughout the region with anchor offices in Cairo, Riyadh, Dubai, Doha, Nairobi, Dar-es-Salaam, Abuja, Kampala and New Jersey, allowing us to service an ever-increasing client base in over 40 countries.