عالم بيانات

Job description

Job Objective

Analyze data and extract patterns and insights, while developing statistical and predictive models using machine learning techniques, supporting decision-making, improving performance, and achieving organizational goals.

Responsibilities

• Collect data from multiple sources, analyze it, and extract results.
• Clean and process data, ensuring its quality and accuracy.
• Develop statistical and predictive models to support decision-making.
• Apply machine learning techniques to solve operational problems.
• Analyze large datasets to discover patterns and trends.
• Utilize statistical analysis methods to test hypotheses and evaluate results.
• Prepare reports and presentations to clarify findings and recommendations.
• Collaborate with data engineering teams and business analysts to enhance data solutions.
• Continuously monitor model performance and improve accuracy and efficiency.

Skills

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Minimum two years of practical experience in data science or statistical analysis.
• Proficiency in Python and experience with data analysis libraries such as Pandas and NumPy.
• Strong knowledge of SQL and experience with database management.
• Understanding of statistical methods and probability, and data analysis techniques.
• Experience in building machine learning models using tools like Scikit-learn.
• Ability to utilize data visualization tools such as Power BI or Tableau.
• Familiarity with model evaluation principles and performance optimization.
• Strong analytical skills and problem-solving abilities.