Join The Elites
Cairo, Egypt
If you are interested, kindly send your CV to careers.fsi@egabi.com mentioning the job title in the subject.
Job Description:
- Collect, clean, and preprocess data from various sources to ensure data quality and accuracy.
- Develop and implement advanced statistical models and machine learning algorithms to solve business problems.
- Perform exploratory data analysis to identify trends, patterns, and variances in the data.
- Analyze large amounts of information to find patterns and solutions.
- Design and build data visualizations to effectively communicate findings to stakeholders.
- Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence.
- Document and present research findings and methodologies to both technical and non-technical audiences.
- Model Development: Design and implement machine learning algorithms or models tailored to solve specific ML problems. This involves selecting appropriate algorithms/techniques, tuning hyperparameters, and optimizing for performance.
- Feature Engineering: Identify, create, and integrate relevant features from raw data that will improve the performance of the machine learning models.
- Model Evaluation: Assess the performance of machine learning models using appropriate evaluation metrics and techniques such as cross-validation.
- Model Deployment: Integrate machine learning models into production systems, ensuring scalability, reliability, and efficiency.
Requirements:
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- Proven experience as a Data Scientist or in a similar analytical role.
- Proficiency in programming languages such as Python, R scripting, or SQL.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn, PyTorch).
- Strong knowledge of statistical analysis, data mining, and data visualization techniques.
- Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib.
- Excellent problem-solving skills, result oriented and attention to detail.
- Strong communication skills with the ability to explain complex concepts to non-technical stakeholders.
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) is desirable.
- Excellent English speaking and business writing.
