Lead Data Scientist

The Lead Data Scientist at Emirates Global Aluminium (EGA) brings expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. The role involves collaboration with translators to define technical problem statements and develop analytical models that mimic business decisions.

Key Responsibilities:

• Design, create, test, and implement complex models and algorithms for analytical solutions across the organization.
• Conduct advanced statistical analyses to provide actionable insights and measure performance.
• Collaborate with translators to understand business problems and implement scalable solutions.
• Coordinate with Data Engineers to deliver holistic analytical solutions.
• Support communication about the design and functionality of analytical models.
• Ensure timely analysis and maintenance of solutions.
• Lead cross-functional projects leveraging data modeling and analysis techniques.
• Build and maintain data models, reporting systems, dashboards, and performance metrics.
• Teach data science courses as part of the advanced analytics academy.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications & Skills:

• Minimum Qualifications:

  • BSc or preferably MS/PhD in Computer Science, Statistics, Mathematics, or a related technical discipline.
  • Proficiency in programming languages: Python, R, Java, and SQL.

• Minimum Experience:

  • 5+ years of relevant experience in data science or business intelligence roles.
  • Domain knowledge in the metal and mining industry, energy, heavy industry, or oil and gas.
  • Experience with large datasets, machine learning, optimization, and statistical analysis techniques.
  • Familiarity with stakeholder data visualization tools such as Power BI or Tableau.
  • Knowledge of additional programming languages (C++, SPSS, SAS, etc.) and distributed computing tools (Hadoop, Spark, etc.) is a plus.

Language Requirements:

• Proficiency in English is required; knowledge of additional languages is a bonus.

This role aims to leverage data-driven decision-making to support strategic objectives and uncover optimization opportunities within the organization's operations.