Principal Data Scientist Job Vacancy in UAE Dubai
Job Location: Abu Dhabi, United Arab Emirates
Job Industry: Information Technology & Services
Job Function: Data Science & Artificial Intelligence
Salary: Negotiable
Gender: Any
Key Responsibilities:
- Effectively communicate analytics methodologies and business value to stakeholders
- Advocate and educate on data-driven decision-making, emphasizing problem-solving strategies
- Lead analytical initiatives, collaborating with data engineers, business leads, analysts, and developers
- Develop scalable, repeatable, and interpretable machine learning models integrated into data products
- Define and implement best practices for data science standards and tools across the organization
- Engineer new data features by combining diverse internal and external data sources
- Establish long-term frameworks, methodologies, and industry best practices for data science
- Mentor, collaborate, and build a strong data science community within the enterprise
- Provide leadership across multiple data science projects and effectively manage resources
- Act as a strategic authority in data science, defining technical vision and innovation strategies
- Engage with senior stakeholders to demonstrate the strategic value of AI and data science
- Stay connected with the latest advancements in AI through conferences and industry engagements
Decision-Making & Authority:
- Operates within broadly defined policies, setting priorities and determining processes
- Decisions impacting multiple functional areas require approval before implementation
Job Requirements:
- MS or PhD in Data Science, Computer Science, Engineering, or Statistics
- 10+ years of experience in statistical modeling and data science roles
- Expertise in Python, R, SQL, and proficiency with Data Frames and complex SQL queries
- Domain knowledge in metals, mining, energy, or related industries, with the ability to align data science initiatives with business objectives
- Strong mathematical, statistical, and applied research skills with experience in AI and machine learning
- Hands-on experience solving clustering, classification, regression, anomaly detection, and optimization problems
- Proficiency in merging and transforming large-scale data sets to generate new insights
- Experience using BI and visualization tools such as Tableau, Power BI, R Shiny, Plotly, and ggplot
- Programming experience in additional languages like Java, C++, Scala, SAS, or SPSS is a plus
- Strong knowledge in AI disciplines, including deep learning, NLP, time series forecasting, optimization, and causal inference
- Experience in automation, control systems, and related training is highly valued
- Understanding of NoSQL and distributed computing technologies is an advantage
Agile & Digital Experience:
- Experience with large relational databases (SQL) and distributed computing tools (Hadoop, Spark, Hive, MySQL, Cloud AI platforms, containerization)
- Familiarity with deploying, monitoring, and maintaining AI models in production environments
Soft Skills & Mindset:
- Exceptional communication and collaboration skills to translate business needs into AI solutions
- Strong problem-solving abilities and a proactive approach to tackling new challenges
- Attention to detail with a keen sense of data accuracy and validation
- Ability to prioritize tasks effectively and manage multiple projects simultaneously
What We Offer:
- Competitive salary and benefits package
- Exposure to cutting-edge AI, machine learning, and advanced analytics projects
- A collaborative and innovative work environment focused on digital transformation
- Opportunities for professional growth and leadership in a forward-thinking organization
About the Company:
New York University Abu Dhabi (NYUAD) is a globally renowned institution dedicated to academic excellence, research innovation, and fostering an inclusive learning environment. NYUAD is at the forefront of digital transformation, leveraging AI and data science to drive intelligent decision-making. Join us and be part of a dynamic team shaping the future of data-driven intelligence in a prestigious international institution.