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Responsibilities

• Develop and align data science strategy with business goals, identifying key sources and establishing governance.
• Implement advanced analytics and machine learning solutions.
• Foster a data-driven culture for innovation and decision-making.
• Collaborate with stakeholders to define problems, set outcomes, and identify business opportunities.
• Examine datasets to identify trends, patterns, and correlations for strategic insights.
• Apply statistical techniques, data visualization, and analytical tools for actionable information.
• Build, refine, and assess predictive models and machine learning algorithms for insights and forecasts.
• Engineer features, select variables, and train predictive models, evaluating performance with metrics.
• Optimize data science workflows for efficiency and accuracy, streamlining processes and adopting best practices.
• Automate tasks, improve data quality, and implement advanced techniques for precise outcomes.
• Continuously monitor deployed model performance, retraining or fine-tuning as needed.
• Conduct regular data quality assessments, ensuring data accuracy, completeness, and consistency.
• Continuously improve data science processes by adopting new technologies and methodologies.

Requirements

• Experience implementing enterprise-level data science solutions.
• Strong traditional Machine Learning experience.

Skills

• Python
• R
• TensorFlow
• PyTorch
• SQL
• AWS Cloud Platform
• SageMaker
• BedRock
• Gen AI Frameworks
• Gen AI models
• Predictive analytics
• Classification algorithms
• Probability algorithms
• Data Science
• Machine Learning

Location

• Dubai

Experience Level

• 5-8 years