Data Scientist (AI & ML) (Job Code: DSAM2026842)
Job role insights
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Date posted
May 8, 2026
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Closing date
June 22, 2026
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Hiring location
Dubai, United Arab Emirates (UAE)
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Offered salary
د.إ8,000 - د.إ9,250/month
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Career level
Middle
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Experience
Mid-Level
Description
📍 Location: Dubai, UAE | 📈 Career Level: Mid-Senior | 💻 Work Mode: Hybrid | 🏢 Industry: Quick Commerce
About the Role
As a Data Scientist specializing in AI & ML, you will be the engine behind the predictive intelligence that powers our instant-delivery ecosystem. You will move beyond basic analytics to architect and deploy sophisticated machine learning models that solve high-stakes challenges, from hyper-accurate demand forecasting to real-time dynamic pricing. Your work will directly optimize the intersection of consumer behavior and logistical efficiency, ensuring our platform anticipates user needs before they arise. This is a role for a technical visionary who thrives on high-velocity data and seeks to implement production-grade AI solutions that define the future of Quick Commerce in the GCC.
Responsibilities
- Predictive Model Engineering: Design, develop, and deploy advanced ML models for demand sensing, inventory optimization, and churn prediction within a high-throughput environment.
- Algorithmic Innovation: Architect and refine real-time recommendation engines and personalized ranking systems to enhance user discovery and conversion rates.
- Optimization Frameworks: Develop sophisticated algorithms for last-mile route optimization and automated dispatching to reduce delivery latency and operational overhead.
- A/B Testing & Causal Inference: Lead the design and execution of rigorous experimental frameworks to validate the impact of algorithmic changes on core business KPIs.
- Scalable AI Deployment: Collaborate with MLOps and Data Engineering teams to build robust pipelines for model training, monitoring, and seamless production deployment.
Qualifications
- Proven Track Record: Minimum 3+ years of professional experience as a Data Scientist or ML Engineer, with a verifiable portfolio of deploying production-grade models in a SaaS, Fintech, or E-commerce setting.
- Advanced Quantitative Foundation: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field, demonstrating a deep theoretical and practical understanding of AI.
- Language Proficiency:
- English: Professional fluency is mandatory.
- Arabic: Proficiency is a significant advantage.
- Additional Languages: Proficiency in Hindi, Filipino, or Bangla is highly regarded for regional data contextualization.
- Role-Specific Skillset:
- Mastery of Python/R and ML frameworks such as PyTorch, TensorFlow, or XGBoost.
- Expertise in SQL and big data technologies (e.g., Spark, BigQuery, or Snowflake).
- Advanced knowledge of Deep Learning, NLP, and Reinforcement Learning.
- Proficiency in Cloud AI Infrastructure (AWS SageMaker, GCP AI Platform, or Azure ML).
- Strategic Statistical Modeling & Hypothesis Testing.
Compensation and Benefit Package
- ✨ Standard Salary: Highly competitive salary reflective of technical expertise.
- 🌍 GCC Benefit Package: Comprehensive medical insurance and regional employee benefits.
- 💰 Financial Advantage: 0% Personal Income Tax environment in the UAE.
- ✈️ Relocation Support: End-to-end relocation and visa assistance provided by Citizen EOR for a frictionless move to Dubai.
About Citizen
Citizen EOR is a leading HR Technology firm specializing in Employer of Record services across the Middle East. We facilitate global expansion through our proprietary Employee Contractor Framework, a specialized model that offers the flexibility of contracting with the legal security and benefits of traditional employment. By joining us, you are joining a tech-forward organization dedicated to building the infrastructure for the GCC’s digital economy.
Ready to Lead?
📨 Email your CV to: jobs@citizeneor.com 📌 Mandatory: Please mention the Job Title (Data Scientist (AI & ML)) and Job Code (DSAM2026842) in your email subject line.
Interested in this job?
19 days left to apply