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JOB TITLE
Manager- Data Scientist | Holding | Strategy
Role Summary
The Data Scientist is responsible for developing and deploying advanced analytics and machine learning solutions to support data-driven business decisions. The role involves managing the full model lifecycle, from data analysis and feature engineering to model deployment and performance monitoring, while transforming complex data into actionable business insights.
ROLE PROFILE
Manager- Data Scientist | Holding | Strategy
Role Summary
The Data Scientist is responsible for developing and deploying advanced analytics and machine learning solutions to support data-driven business decisions. The role involves managing the full model lifecycle, from data analysis and feature engineering to model deployment and performance monitoring, while transforming complex data into actionable business insights.
ROLE PROFILE
- Design, build, train, and validate predictive and prescriptive models using statistical, machine learning, and optimization techniques.
- Perform variance attribution and root-cause analysis to explain deviations and inform performance improvement actions.
- Deploy AI-enabled solutions to streamline analytical workflows and accelerate decision-making processes.
- Work with data engineers to ensure data pipelines, feature stores, and ETL processes support modelling needs.
- Collaborate with platform and ML engineering teams to operate models in production environments through automated pipelines and APIs.
- Implement MLOps frameworks for version control, documentation, reproducibility, performance monitoring, and retraining.
- Champion data-driven decision-making and foster analytical literacy across the organization.
- Contribute to internal knowledge repositories, development of reusable assets, accelerators, and internal best-practice frameworks to improve time-to-value.
- Bachelor’s or Master’s degree in data science, statistics, applied mathematics, computer science, or related fields.
- 5 - 8 years of experience in data science, machine learning, or applied analytics, within a complex or large-scale organization.
- PhD preferred or equivalent experience demonstrating advanced research capability.
- The role requires strong proficiency in Python or R for modeling and analysis, and fluency in SQL or PySpark for data extraction and manipulation.
- A deep understanding of statistical methods, time-series forecasting, regression modeling, and supervised and unsupervised learning techniques is essential.
- Experience with generative AI or NLP frameworks (Claude Sonnet, OpenAI APIs, Hugging Face, LangChain) is considered an advantage.
- At Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
- Work in a friendly environment, where everyone shares positive vibes and excited about our future.
- Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
Key Skills
Ranked by relevance
machine learning
ai
data analysis
python
mlops
sql
etl
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- Posted
- May 15, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Dubai
- Company
- Majid Al Futtaim
Industries
Retail
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Scientist (Askuity division)
2026-05-26
Full-time
Not Applicable
Canada
Retail
Engineering
View Job Details
Related
Data Scientist F/H
2026-05-25
Full-time
Not Applicable
France
Retail
Engineering
View Job Details
Related
Senior Machine Learning Engineer
2026-05-25
Full-time
Not Applicable
Netherlands
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Engineering