
Senior Data Scientist
💰 Estimated salary: SAR 27,000–42,000/month· MenaJobs market estimate
At a Glance
- Category
- 💻 Technology
- Level
- Senior
- Type
- Full-time
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Responsible for transforming complex business and operational data into actionable insights and advanced analytical solutions. The role develops statistical models, machine learning models, predictive analytics, and data-driven solutions to support business decision-making and strategic initiatives.
• Analyze large and complex datasets to identify trends, patterns, and business opportunities.
• Develop and deploy statistical, predictive, and machine learning models.
• Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis.
• Select appropriate algorithms and optimize model performance.
• Evaluate models using appropriate statistical and machine learning metrics.
• Translate business requirements into data science and analytical solutions.
• Build forecasting, classification, regression, clustering, and optimization models.
• Collaborate with Data Engineers, AI Engineers, Business Analysts, and business stakeholders.
• Develop dashboards, reports, and visualizations to communicate analytical findings.
• Deploy and monitor models in production environments.
• Ensure data quality, reproducibility, scalability, and appropriate model documentation.
• Support advanced analytics, AI initiatives, and continuous improvement of existing models.
🏥 Family Medical Insurance covering the employee and eligible family members.
✈️ Airline Tickets for the employee, spouse, and up to two children.
🪪 Iqama Sponsorship & Processing provided by the company in accordance with applicable regulations.
Requirements
- •Experience in transforming complex data into actionable insights
- •Ability to develop statistical and machine learning models
- •Proficiency in data cleaning, preprocessing, and feature engineering
- •Experience in exploratory data analysis
- •Ability to translate business requirements into analytical solutions
- •Experience in building forecasting, classification, regression, and clustering models
- •Ability to deploy and monitor models in production environments
- •Knowledge of data quality, reproducibility, and scalability
Responsibilities
- •Analyze large and complex datasets to identify trends and patterns
- •Develop and deploy statistical, predictive, and machine learning models
- •Select appropriate algorithms and optimize model performance
- •Evaluate models using appropriate statistical and machine learning metrics
- •Collaborate with Data Engineers, AI Engineers, and Business Analysts
- •Develop dashboards, reports, and visualizations to communicate findings
- •Ensure model documentation and data quality
- •Support advanced analytics and AI initiatives
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Guides for this role
- See the score your CV gets before you apply to TAWANTECH
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TAWANTECH offers technology solutions aimed at driving digital transformation for businesses. They provide services to help organizations innovate and grow.


