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.
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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:
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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.
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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.
