Senior Data Scientist: Lead ML & Analytics

Client of AIQU; Abu Dhabi; On-site; AED 250,000 - 500,000; Full time

Job summary

Client of AIQU seeks a seasoned Data Scientist to lead end-to-end machine learning projects in Abu Dhabi. You will collaborate with cross-functional stakeholders, mentor junior analysts, and drive data-driven decisions to support strategic objectives.

Responsibilities include designing predictive models, building scalable pipelines, and deploying models in cloud and on-prem environments while ensuring data quality and governance. Strong senior-level expertise and leadership are essential.

Qualifications

• 10+ years of hands-on experience in data science, machine learning, or related fields.
• Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, or related discipline.
• Strong background in statistical modeling, time series analysis, and experimental design.

Responsibilities

• Design, develop and deploy predictive models and advanced analytics solutions.
• Lead data collection, cleaning and preprocessing pipelines at scale.
• Collaborate with business stakeholders to translate requirements into analytical solutions.
• Mentor and guide junior data scientists and analysts.
• Perform exploratory data analysis and communicate insights through visualizations and executive presentations.
• Optimize and productionize machine learning models in cloud and on-premise environments.
• Ensure data quality, governance and compliance with organizational standards.
• Stay current with emerging tools, techniques and industry best practices.

Skills

Python/R

SQL

Big data

MLOps

Data visualization

Education

Master's or PhD in CS/Statistics/Math/Engineering

Tools

Airflow

dbt

Kafka

Job description

Client of AIQU seeks a seasoned Data Scientist to lead end-to-end machine learning projects in Abu Dhabi. You will collaborate with cross-functional stakeholders, mentor junior analysts, and drive data-driven decisions to support strategic objectives.

Responsibilities include designing predictive models, building scalable pipelines, and deploying models in cloud and on-prem environments while ensuring data quality and governance. Strong senior-level expertise and leadership are essential.