Lead Data Scientist Job Vacancy in UAE Dubai
Posted date [2025-02-27]
(ID: 33657)
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Emirates Global Aluminium is the world’s largest ‘premium aluminium’ producer and the biggest industrial company in the United Arab Emirates outside oil and gas.
EGA is owned by Mubadala Investment Company of Abu Dhabi and Investment Corporation of Dubai, and is the largest company jointly owned by the two Emirates. As a team of more than 7,000 people around the world, we share a drive to fulfil our purpose and achieve our mission, while living our values. Our leadership ensures that we demonstrate a culture of innovation and responsibility as well as a robust corporate governance for our long-term success. Aluminium is among the world’s most versatile metals, and our global customers transform it into products that make modern life possible. Our aluminium is the biggest made-in-the-UAE export after oil and gas. We produce one-in-every 25 tonnes of aluminium made worldwide - four per cent of the world’s total production and almost half of the aluminium produced in the Gulf. EGA is an integrated aluminium producer, with operations from bauxite mining to the production of cast metal and recycling. EGA’s operations include an aluminium smelter and an alumina refinery in Abu Dhabi, an aluminium smelter in Dubai, and a bauxite mine in the Republic of Guinea and a specialty foundry in Germany, and an aluminium recycling plant in the United States.... |
Lead Data Scientist
Job Overview:
We are seeking a highly skilled Lead Data Scientist to design, prototype, and build next-generation advanced analytics engines and services. This role involves utilizing strong expertise in machine learning, data mining, and information retrieval to develop efficient and accurate analytical models that support business decision-making. As a Lead Data Scientist, you will collaborate with cross-functional teams, including translators and data engineers, to implement scalable and sustainable analytical solutions.
Job Location: Dubai, Dubai, United Arab Emirates
Job Industry: Information Technology and Services
Job Function: Data Science and Advanced Analytics
Salary: Negotiable
Gender: Any
Key Responsibilities:
- Design, create, test, and implement complex models and algorithms that drive analytical solutions across the organization.
- Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance.
- Collaborate with translators to understand business problems and implement scalable solutions.
- Coordinate with Data Engineers to deliver holistic analytical solutions.
- Support translators in communicating the design, functionality, and output of analytical models.
- Ensure timely analysis and maintenance of analytical solutions over time.
- Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that guide strategic decisions.
- Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics that support key business decisions.
- Develop and deliver data science courses as part of the advanced analytics and digital academy.
- Create processes and tools to monitor and analyze model performance and data accuracy.
- Perform other duties as assigned.
Required Skills and Experience:
Education:
- BSc or preferably MS/PhD in Computer Science, Electronics, Computer Applications, Statistics, Mathematics, or a related technical discipline.
Experience:
- Minimum of 5+ years of relevant experience in data science, statistical analysis, and business intelligence roles.
- Domain knowledge in metal and mining, energy, heavy industry, or oil and gas is preferred.
- Experience in machine learning, statistics, optimization, and working with large data sets.
- Strong knowledge of advanced statistical techniques and concepts, including regression, distributions, statistical tests, and hypothesis development.
- Experience with relational databases (SQL), distributed computing tools (Hadoop, Hive, Spark), and data visualization tools (Power BI, Tableau, D3).
- Proficiency in programming languages such as Python, R, Java, and SQL.
- Experience in data mining, predictive analytics, simulation, optimization, and cloud-based data sources.
- Knowledge of data architectures, automation & control systems, and industry 4.0 applications such as big data, autonomous robots, and cloud computing.
Skills:
- Deep knowledge of machine learning models and techniques, including deployment and optimization.
- Strong analytical and problem-solving skills with an agile mindset.
- Excellent verbal and written communication skills.
- Ability to work in Agile environments with multiple stakeholders.
- Strong work ethic, professional attitude, and team-oriented mindset.
What We Offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for career growth and professional development in data science and advanced analytics.
- A dynamic and innovative work environment fostering continuous learning and collaboration.
About the company
Emirates Global Aluminium is the world’s largest ‘premium aluminium’ producer and the biggest industrial company in the United Arab Emirates outside oil and gas.
Together, we innovate aluminium to make modern life possible.
We operate aluminium smelters in Abu Dhabi and Dubai, an alumina refinery in Abu Dhabi, and a bauxite mine and associated export facilities in the Republic of Guinea.
Aluminium is among the world’s most versatile metals, and our global customers transform it into products that make modern life possible – from smartphones and building materials to food packaging and car parts.
Our aluminium is the biggest made-in-the-UAE export after oil and gas, bringing in billions of dollars of export revenue each year contributing to the diversification of the national economy.
Four per cent of the world’s aluminium production or almost half of the aluminium produced in the Gulf Cooperation Council, is made by us. That means approximately one in every 25 tonnes of aluminium is UAE-made.
Job Overview:
We are seeking a highly skilled Lead Data Scientist to design, prototype, and build next-generation advanced analytics engines and services. This role involves utilizing strong expertise in machine learning, data mining, and information retrieval to develop efficient and accurate analytical models that support business decision-making. As a Lead Data Scientist, you will collaborate with cross-functional teams, including translators and data engineers, to implement scalable and sustainable analytical solutions.
Job Location: Dubai, Dubai, United Arab Emirates
Job Industry: Information Technology and Services
Job Function: Data Science and Advanced Analytics
Salary: Negotiable
Gender: Any
Key Responsibilities:
- Design, create, test, and implement complex models and algorithms that drive analytical solutions across the organization.
- Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance.
- Collaborate with translators to understand business problems and implement scalable solutions.
- Coordinate with Data Engineers to deliver holistic analytical solutions.
- Support translators in communicating the design, functionality, and output of analytical models.
- Ensure timely analysis and maintenance of analytical solutions over time.
- Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that guide strategic decisions.
- Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics that support key business decisions.
- Develop and deliver data science courses as part of the advanced analytics and digital academy.
- Create processes and tools to monitor and analyze model performance and data accuracy.
- Perform other duties as assigned.
Required Skills and Experience:
Education:
- BSc or preferably MS/PhD in Computer Science, Electronics, Computer Applications, Statistics, Mathematics, or a related technical discipline.
Experience:
- Minimum of 5+ years of relevant experience in data science, statistical analysis, and business intelligence roles.
- Domain knowledge in metal and mining, energy, heavy industry, or oil and gas is preferred.
- Experience in machine learning, statistics, optimization, and working with large data sets.
- Strong knowledge of advanced statistical techniques and concepts, including regression, distributions, statistical tests, and hypothesis development.
- Experience with relational databases (SQL), distributed computing tools (Hadoop, Hive, Spark), and data visualization tools (Power BI, Tableau, D3).
- Proficiency in programming languages such as Python, R, Java, and SQL.
- Experience in data mining, predictive analytics, simulation, optimization, and cloud-based data sources.
- Knowledge of data architectures, automation & control systems, and industry 4.0 applications such as big data, autonomous robots, and cloud computing.
Skills:
- Deep knowledge of machine learning models and techniques, including deployment and optimization.
- Strong analytical and problem-solving skills with an agile mindset.
- Excellent verbal and written communication skills.
- Ability to work in Agile environments with multiple stakeholders.
- Strong work ethic, professional attitude, and team-oriented mindset.
What We Offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for career growth and professional development in data science and advanced analytics.
- A dynamic and innovative work environment fostering continuous learning and collaboration.
About the company
Emirates Global Aluminium is the world’s largest ‘premium aluminium’ producer and the biggest industrial company in the United Arab Emirates outside oil and gas.
Together, we innovate aluminium to make modern life possible.
We operate aluminium smelters in Abu Dhabi and Dubai, an alumina refinery in Abu Dhabi, and a bauxite mine and associated export facilities in the Republic of Guinea.
Aluminium is among the world’s most versatile metals, and our global customers transform it into products that make modern life possible – from smartphones and building materials to food packaging and car parts.
Our aluminium is the biggest made-in-the-UAE export after oil and gas, bringing in billions of dollars of export revenue each year contributing to the diversification of the national economy.
Four per cent of the world’s aluminium production or almost half of the aluminium produced in the Gulf Cooperation Council, is made by us. That means approximately one in every 25 tonnes of aluminium is UAE-made.
