Operations Data Science Manager — AI & Analytics

AlFuttaim; Dubai; On-site; AED 260,000 - 480,000; Full time

Job summary

Al-Futtaim in Dubai invites a Manager Data Science - Operations to lead AI initiatives focused on operational efficiency and business decisions. The role requires hands-on ML, forecasting, and analytics with strong collaboration across operations, business, and technology teams.

The successful candidate will translate complex analyses into actionable recommendations, manage data science projects, and drive measurable commercial outcomes within a dynamic automotive ecosystem.

Qualifications

• Minimum 4-5 years of experience in analytics or data science.
• Bachelor's or master's degree in Computer Science, Statistics, Data Science, or related field.
• Strong hands-on expertise in advanced statistics and machine learning.
• Knowledge of time series, forecasting, regression, classification, clustering, and anomaly detection.

Responsibilities

• Deliver AI and data science use cases to improve operational performance.
• Build and implement predictive models (price elasticity, residual value, predictive maintenance, churn, anomaly detection).
• Develop KPI metrics and reporting systems using statistics and visualization.
• Translate analytical findings into practical recommendations for cross-functional stakeholders.
• Lead and support data scientists to deliver high-quality analytics solutions on time.

Skills

Python

SQL

Machine Learning

Forecasting

Time Series

Databricks

NLP

Education

Bachelor/Master in CS/Statistics/Data Science

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Job description

Al-Futtaim in Dubai invites a Manager Data Science - Operations to lead AI initiatives focused on operational efficiency and business decisions. The role requires hands-on ML, forecasting, and analytics with strong collaboration across operations, business, and technology teams.

The successful candidate will translate complex analyses into actionable recommendations, manage data science projects, and drive measurable commercial outcomes within a dynamic automotive ecosystem.