Principal Data Scientist - IT Applications

GSSTech Group; United Arab Emirates; On-site; AED 250,000 - 300,000; Full time

Job summary

A tech company in the UAE is seeking a highly skilled Principal Data Scientist / IT Engineer to lead data-driven initiatives and drive innovation. The ideal candidate will have experience in data science, machine learning, and cloud-based analytics, with strong programming skills in Python or R. This role involves analyzing complex datasets, developing machine learning models, and collaborating with cross-functional teams to design solutions that transform business challenges into actionable insights.

Qualifications

• Proven experience in data science and machine learning.
• Hands-on experience with cloud platforms such as AWS or Azure.
• Experience implementing MLOps best practices.

Responsibilities

• Analyze large and complex datasets to identify trends.
• Develop and deploy machine learning models.
• Collaborate with teams to design data science solutions.
• Communicate insights through visualizations.

Skills

Data science and machine learning

Cloud-based analytics

Python programming

Statistical analysis

Problem-solving

Excellent communication

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

Tools

AWS

Azure

GCP

Spark

Hadoop

Power BI

Tableau

Looker

Job description

We are seeking a highly skilled and experienced Principal Data Scientist / IT Engineer (Applications) to lead data-driven initiatives and drive innovation across our organization.

The ideal candidate will have a strong background in data science, machine learning, and cloud-based analytics, with the ability to translate complex business problems into actionable insights.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and business opportunities.
• Develop, train, and deploy machine learning models for classification, regression, clustering, and recommendation systems.
• Collaborate with cross-functional teams to define business challenges and design end-to-end data science solutions.
• Communicate findings and insights through effective visualizations, dashboards, and presentations.
• Implement MLOps best practices for model deployment, monitoring, and optimization.
• Stay current with emerging technologies and advancements in data science, AI, and analytics.
• Ensure scalability and performance of models in production environments.

Required Skills & Qualifications

• Proven experience in data science, machine learning, and advanced analytics.
• Strong programming skills in Python, R, or Scala.
• Hands‑on experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with big data frameworks (e.g., Spark, Hadoop).
• Solid understanding of statistical analysis, predictive modelling, and data engineering workflows.
• Experience with MLOps, CI/CD pipelines, and deployment frameworks.
• Excellent communication and problem‑solving skills.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

Preferred Qualifications

• Experience working in large-scale enterprise environments.
• Knowledge of data visualization tools such as Power BI, Tableau, or Looker.
• Experience leading or mentoring junior data scientists or engineers.