Data Science and Performance Manager - Dubai, United Arab Emirates - Ateca Consulting Ltd

Description

• Develop and execute data strategies aligned with organizational goals and objectives.
• Identify key performance indicators (KPIs) and metrics to measure the effectiveness of data initiatives.
• Lead the analysis of large datasets to extract actionable insights and drive data-driven decision-making.
• Utilize statistical and machine learning techniques to uncover trends, patterns, and correlations in data.
• Monitor and evaluate the performance of data science models, algorithms, and processes.
• Identify opportunities for optimization and efficiency improvement in data pipelines and workflows.
• Collaborate with cross-functional teams including data engineers, software developers, and business analysts to integrate data-driven solutions into business processes.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.
• Develop predictive models, forecasting algorithms, and analytical frameworks to support business objectives.
• Implement machine learning models and algorithms in production environments.
• Ensure compliance with data governance policies, privacy regulations, and industry standards.
• Establish data quality standards and protocols to maintain the integrity and reliability of data assets.
• Provide leadership and guidance to a team of data scientists and analysts.
• Foster a culture of innovation, collaboration, and continuous learning within the data science team.

• Bachelor's or master's degree in computer science, Statistics, Data Science, or a related field.
• Proven experience in data science, machine learning, and predictive analytics roles.
• Strong proficiency in programming languages such as Python, R, or SQL for data analysis and modeling.
• Experience with data visualization tools and techniques to present insights and findings.
• Knowledge of statistical analysis methods, experimental design, and hypothesis testing.
• Familiarity with data management platforms, cloud services, and big data technologies.
• Excellent communication skills with the ability to translate technical concepts into business insights.
• Leadership experience with the ability to inspire and mentor team members.