Data Scientist Lead

Job description / Role

Data Scientist Lead - KSA

Job Description
- Lead the design and execution of advanced data science projects to drive business insights and strategies.
- Develop and implement predictive models and machine learning algorithms to solve complex business problems.
- Oversee the end-to-end data science workflow, from data collection and preprocessing to model deployment and evaluation.
- Collaborate with cross-functional teams to identify opportunities for leveraging data to enhance business performance.
- Mentor and guide a team of data scientists, providing technical leadership and fostering professional development.
- Ensure the integration of data science solutions with existing systems and processes.
- Communicate findings and recommendations effectively to stakeholders through presentations and reports.
- Monitor and evaluate the performance of data science models, making adjustments as necessary to improve accuracy and impact.
- Stay updated with the latest developments in data science, machine learning, and statistical analysis to drive innovation.
- Develop and maintain best practices for data science methodologies, data management, and model deployment.

Personal Skills
- Excellent communication skills
- Flexibility to work under pressure and in different environments.
- Problems solving skills.
- Leadership skills.
- Excellent organizational and administrative skills.

Technical Skills
- Advanced Data Science: Expertise in developing and implementing predictive models and machine learning algorithms.
- Programming Languages: Proficiency in programming languages such as Python, R, or Scala for data analysis and modeling.
- Statistical Analysis: Strong skills in statistical methods and techniques for data interpretation and model validation.
- Machine Learning Frameworks: Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Data Engineering: Knowledge of data collection, preprocessing, and integration techniques for effective model building.
- Leadership and Mentoring: Proven ability to lead and mentor a team of data scientists, providing technical guidance and fostering growth.
- Communication: Excellent skills in presenting complex data science concepts and findings to non-technical stakeholders.
- Data Visualization: Proficiency in data visualization tools and techniques for effective communication of insights.
- Problem-Solving: Strong analytical and problem-solving skills for addressing complex business challenges with data-driven solutions.
- Industry Trends: Awareness of current trends and advancements in data science and machine learning for driving innovation and best practices.

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.