Data Scientist (ARABIC SPEAKER)

Data Scientist (Arabic)

Location:(Riyadh, Saudi Arabia) Arabic Speakers require d

Position Objective s

Develop advanced predictive and taxonomic models to drive data-driven insights for business and analytical applications.

Leverage Python and machine learning tools to analyse data, extract valuable indicators, and provide actionable recommendations to support strategic decision-making .

Job Description & Responsibilit ies

• 3-5 years in developing predictive and taxonomic models using Python to address business challenges.
• Utilise machine learning libraries like Scikit-learn and Pandas for data analysis and modelling.
• Interpret and analyse complex datasets to extract meaningful indicators and trends.
• Make data-driven recommendations based on advanced analytics to guide business decisions.
• Collaborate with stakeholders to understand business needs and translate them into analytical solutions.
• Optimise models for accuracy, scalability, and performance in production environments.
• Document modelling processes, findings, and recommendations for transparency and collaboration.

Qualifications & Experi ence

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; a Master’s degree is a plus.
• Python Modelling Expertise (Mandatory): 3–5 years of experience developing predictive and taxonomic models using Python.
• Machine Learning Proficiency (Mandatory): Hands-on expertise with Scikit-learn, Pandas, and other machine learning libraries for data analysis and modelling.
• Advanced Analytics and Recommendations (Mandatory): Proven ability to perform advanced analytics and deliver actionable recommendations based on data insights.
• Strong skills in interpreting and analysing complex datasets to extract valuable indicators.
• Excellent problem-solving, collaboration, and communication skills, with fluency in written and spoken English.
• Familiarity with additional tools (e.g., TensorFlow, PyTorch) or cloud platforms (e.g., AWS, Azure) is a plus.
• Passion for leveraging data science to drive innovative solutions in a dynamic environment.

Exp Range 3-5 years to max 7 to 8.