محلل بيانات Senior Machine Learning Scientist Senior Data Analytics Scientist Senior Applied Data Scientist
التخصص
تكنولوجيا المعلومات
نوع الدوام
دوام جزئي
الخبرة
أي مستوى
الموقع
دبي
وصف الوظيفة
Role DescriptionDevelop and implement advanced data science and machine learning solutions to address complex business challenges and support strategic decision-making.Conduct large-scale data analysis, statistical modeling, and predictive analytics to identify patterns, trends, and actionable business insights.Design, develop, train, and optimize machine learning models and algorithms to improve business performance, operational efficiency, and product capabilities.Apply advanced analytical techniques, including supervised learning, unsupervised learning, deep learning, and natural language processing to solve real-world problems.Collaborate with engineering, product, business intelligence, and research teams to translate business requirements into scalable data-driven solutions.Lead analytical research initiatives, experiment design, hypothesis testing, and model evaluation to ensure accuracy, reliability, and practical applicability.Develop and maintain data pipelines, analytical frameworks, and model deployment processes to support efficient data science operations.Evaluate model performance, identify potential biases, and implement optimization strategies to improve prediction accuracy and model robustness.Utilize advanced statistical methods, feature engineering, and data visualization techniques to communicate findings and support business strategies.Explore emerging technologies, research methodologies, and innovative machine learning approaches to enhance analytical capabilities.Ensure data quality, model governance, reproducibility, and compliance with relevant data privacy and information security requirements.Work closely with technical stakeholders to integrate machine learning models into production systems and monitor their ongoing performance.Prepare technical reports, research findings, analytical presentations, and strategic recommendations for management and business stakeholders.Promote data-driven innovation and continuous improvement through advanced analytics, experimentation, and intelligent automation.QualificationsMaster's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or a related discipline.Strong understanding of statistical analysis, probability theory, predictive modeling, and advanced data science methodologies.Proficiency in Python or R, with strong programming capabilities for data processing, statistical analysis, and machine learning development.Good knowledge of machine learning algorithms, deep learning architectures, neural networks, and model optimization techniques.Familiarity with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, and related analytical libraries.Strong understanding of SQL, database management, data preprocessing, feature engineering, and data pipeline development.Knowledge of natural language processing, computer vision, recommendation systems, or other applied AI technologies is advantageous.Strong analytical thinking, research capabilities, and complex problem-solving skills.Familiarity with cloud computing platforms, MLOps, model deployment, and distributed data processing systems.Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.Strong attention to detail, scientific thinking, and commitment to data accuracy, ethical AI, and continuous innovation.
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