Data Science Manager - Customer | Al-Futtaim Automotive

Al-Futtaim; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading automotive company in Dubai is seeking a Data Science Manager to lead customer-centric AI initiatives that enhance marketing performance. You will build predictive models, deliver actionable insights, and mentor a team of data scientists. The ideal candidate has over 7 years of experience in customer analytics and a strong background in machine learning techniques. This role offers an opportunity to significantly influence business outcomes in a dynamic automotive environment.

Qualifications

• 7+ years of experience in customer analytics and AI/ML solutions.
• Hands-on expertise with machine learning techniques including CNNs, RNNs, and time series forecasting.
• Skilled in CRM systems and marketing analytics platforms.

Responsibilities

• Lead customer-centric AI initiatives to drive marketing performance.
• Build and deploy predictive models for marketing optimization.
• Deliver actionable customer insights through cohort analysis.

Skills

Advanced knowledge of ensemble methods

Expertise in attribution models

Proficiency in NLP and reinforcement learning

Strong problem-solving skills

Excellent stakeholder management

Education

Bachelor’s, Master’s, or PhD in Marketing Analytics or related field

Tools

Python

SQL

Databricks

scikit-learn

TensorFlow

PyTorch

Job description

Overview

As a Data Science Manager (Customer) at Al-Futtaim Automotive, you will lead customer-centric AI and advanced analytics initiatives that drive marketing performance and enhance the customer experience. This role focuses on building predictive models, customer insights, and hyper-personalization solutions that create measurable business impact.

What you will do

• Build and deploy predictive models such as lead scoring, precision marketing, marketing attribution, customer segmentation, and hyper-personalization.
• Standardize and optimize marketing performance KPIs across brands using advanced statistical methods and data visualization.
• Deliver actionable customer insights through cohort analysis, customer lifetime value modelling, churn prediction, and campaign performance analysis.
• Collaborate with stakeholders to identify, define, and prioritize high-impact use cases supported by data-driven business cases.
• Lead and mentor a team of data scientists to deliver scalable AI / ML solutions that directly improve marketing ROI and customer experience.

Required skills to be successful

• Advanced knowledge of ensemble methods, gradient boosting, uplift modelling, and multi-arm bandits for marketing optimization.
• Expertise in attribution models (Markov chains, Shapley values), clustering techniques, recommender systems, and hyper-personalization.
• Proficiency in NLP, reinforcement learning, cohort analysis, lifetime value modelling, and churn prediction.
• Strong problem-solving skills and the ability to translate complex data science solutions into business value.
• Excellent stakeholder management, communication, and project management capabilities.

About the team

You will report to the Head of Customer Data Science and lead a small team comprising a Data Science Manager and Data Scientists. The team plays a pivotal role within the Finance Department at Al-Futtaim Automotive, driving innovation in customer analytics and marketing science.

What equips you for the role

• Bachelor’s, Master’s, or PhD in Marketing Analytics, Computer Science, or a related field.
• 7+ years of experience in customer analytics, data science, and AI / ML solutions.
• Hands-on expertise with machine learning techniques including CNNs, RNNs, LSTMs, time series forecasting, survival analysis, graph neural networks, Bayesian and causal modelling.
• Skilled in Python, SQL, Databricks, and modern ML libraries (scikit-learn, TensorFlow, PyTorch, Prophet, ARIMA / SARIMA).
• Proficient in CRM systems, marketing analytics platforms, and MLOps practices.
• Experience with LLMs, RAGs, and modern AI-based recommendation systems.
• Strong leadership skills to manage and mentor a data science team.