Principal Data Scientist Job Vacancy in UAE Dubai
Posted date [2025-02-27]
(ID: 33658)
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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.... |
Principal Data Scientist
Job Overview:
We are looking for a visionary Principal Data Scientist to apply advanced expertise in artificial intelligence, machine learning, data mining, and information retrieval. The role involves designing, prototyping, and building next-generation advanced analytics engines and services. The Principal Data Scientist will collaborate with business partners, define technical problem statements, and develop accurate analytical models to drive strategic decisions. You will also play a pivotal role in defining and implementing data science standards and nurturing the data science community within the organization.
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:
- Communicate the analytics approach and its strategic value to business partners effectively.
- Advocate and educate on data-driven decision-making, emphasizing problem-solving.
- Lead analytic approaches and integrate them into applications and tools with data engineers, business leads, analysts, and developers.
- Develop data science capability across the organization, setting a role model for best practices and continuous learning.
- Design and implement dynamic, interpretable, scalable models integrated into analytic data products.
- Ensure high-quality data science standards and tools are consistently developed and deployed within the organization.
- Engineer features by leveraging business acumen to combine diverse internal and external data sources.
- Lead multidisciplinary data science projects, managing resources for timely and successful delivery.
- Collaborate, coach, and learn with a growing team of experienced Data Scientists.
- Provide strategic direction with technical expertise in cutting-edge data science techniques.
- Communicate effectively with senior stakeholders to advocate the strategic value of data science.
- Stay connected with external sources of ideas through conferences and community engagements.
Required Skills and Experience:
Education:
- MS or PhD in Data Science, Computer Science, Engineering, Statistics, or a related technical discipline.
Experience:
- Minimum of 10+ years of relevant experience in statistical analysis and data science roles.
- Domain expertise in Metal & Mining, Energy, or a combination of both industries.
- Proficiency with Machine Learning for solving clustering, classification, regression, anomaly detection, simulation, and optimization problems on large-scale data sets.
- Strong experience with relational databases (SQL) and distributed computing tools (MapReduce, Hadoop, Hive, Spark).
- Proven ability to merge and transform diverse internal and external data sets to create new features.
- Experience with data visualization tools such as Tableau, R Shiny, Plotly, Power BI, Periscope, and D3.
- Proficiency in programming languages, ideally in Python, R, and SQL. Knowledge of C++, Java, SPSS, SAS, or Scala is a plus.
- Deep knowledge of data science and decision science domains, including explainable AI, econometrics, deep learning, NLP, time series forecasting, and optimization.
- Proven experience working with data engineers to produce, transform, and test new data feeds.
- Knowledge of distributed computing or NoSQL technologies is advantageous.
- Experience in automation, control systems, and industry 4.0 applications, including big data, cloud computing, and autonomous robots.
Agile/Digital Experience:
- Experience working with large data sets, simulation/optimization, and distributed computing tools.
- Familiarity with containerization, cloud AI platforms, and model deployment, monitoring, and enhancement.
Individual Skills:
- Exceptional communication and collaboration skills to understand business needs and deliver effective solutions.
- Strong leadership, mentoring, and coaching skills to guide and develop a high-performing data science team.
- Intellectual curiosity and humility, with a focus on continuous learning and leveraging others\' expertise.
- Excellent organizational skills, attention to detail, and accuracy in data analysis and reporting.
What We Offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for career growth and leadership 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 looking for a visionary Principal Data Scientist to apply advanced expertise in artificial intelligence, machine learning, data mining, and information retrieval. The role involves designing, prototyping, and building next-generation advanced analytics engines and services. The Principal Data Scientist will collaborate with business partners, define technical problem statements, and develop accurate analytical models to drive strategic decisions. You will also play a pivotal role in defining and implementing data science standards and nurturing the data science community within the organization.
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:
- Communicate the analytics approach and its strategic value to business partners effectively.
- Advocate and educate on data-driven decision-making, emphasizing problem-solving.
- Lead analytic approaches and integrate them into applications and tools with data engineers, business leads, analysts, and developers.
- Develop data science capability across the organization, setting a role model for best practices and continuous learning.
- Design and implement dynamic, interpretable, scalable models integrated into analytic data products.
- Ensure high-quality data science standards and tools are consistently developed and deployed within the organization.
- Engineer features by leveraging business acumen to combine diverse internal and external data sources.
- Lead multidisciplinary data science projects, managing resources for timely and successful delivery.
- Collaborate, coach, and learn with a growing team of experienced Data Scientists.
- Provide strategic direction with technical expertise in cutting-edge data science techniques.
- Communicate effectively with senior stakeholders to advocate the strategic value of data science.
- Stay connected with external sources of ideas through conferences and community engagements.
Required Skills and Experience:
Education:
- MS or PhD in Data Science, Computer Science, Engineering, Statistics, or a related technical discipline.
Experience:
- Minimum of 10+ years of relevant experience in statistical analysis and data science roles.
- Domain expertise in Metal & Mining, Energy, or a combination of both industries.
- Proficiency with Machine Learning for solving clustering, classification, regression, anomaly detection, simulation, and optimization problems on large-scale data sets.
- Strong experience with relational databases (SQL) and distributed computing tools (MapReduce, Hadoop, Hive, Spark).
- Proven ability to merge and transform diverse internal and external data sets to create new features.
- Experience with data visualization tools such as Tableau, R Shiny, Plotly, Power BI, Periscope, and D3.
- Proficiency in programming languages, ideally in Python, R, and SQL. Knowledge of C++, Java, SPSS, SAS, or Scala is a plus.
- Deep knowledge of data science and decision science domains, including explainable AI, econometrics, deep learning, NLP, time series forecasting, and optimization.
- Proven experience working with data engineers to produce, transform, and test new data feeds.
- Knowledge of distributed computing or NoSQL technologies is advantageous.
- Experience in automation, control systems, and industry 4.0 applications, including big data, cloud computing, and autonomous robots.
Agile/Digital Experience:
- Experience working with large data sets, simulation/optimization, and distributed computing tools.
- Familiarity with containerization, cloud AI platforms, and model deployment, monitoring, and enhancement.
Individual Skills:
- Exceptional communication and collaboration skills to understand business needs and deliver effective solutions.
- Strong leadership, mentoring, and coaching skills to guide and develop a high-performing data science team.
- Intellectual curiosity and humility, with a focus on continuous learning and leveraging others\' expertise.
- Excellent organizational skills, attention to detail, and accuracy in data analysis and reporting.
What We Offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for career growth and leadership 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.
