Research Associate – AI-Data Science with a focus on Inventory Optimization & Recommender Systems Specialist

We are seeking a Research Associate to join a collaborative research project between the University of Doha for Science and Technology (UDST) and a leading technology-driven business in Qatar. The ideal candidate will have a strong background in reinforcement learning, optimization, recommender systems, and applied machine learning, with a focus on developing advanced algorithms for inventory management and personalized customer experiences.

Requirements

• Ph.D. in Computer Science, Operations Research, AI, or a related field
• Master’s degree in Computer Science/Engineering with at least 3 years of experience in optimization, recommender systems, or reinforcement learning
• Strong knowledge of reinforcement learning, optimization algorithms, and recommender systems
• Experience with simulation and A/B testing methodologies
• Familiarity with knowledge graphs, session-based recommendation, and personalization techniques
• Proficiency in deploying ML models as microservices and applying MLOps best practices
• Strong programming skills in languages such as Python or R
• Familiarity with machine learning libraries and frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
• Ability to design, prototype, and validate optimization and recommendation algorithms
• Strong documentation and presentation skills for both technical and non-technical stakeholders
• Proven experience working in collaborative team environments and managing multiple tasks effectively

Benefits

• Opportunity to work on a collaborative research project with a leading technology-driven business in Qatar
• Chance to develop advanced algorithms for inventory management and personalized customer experiences
• Collaborative team environment with experienced professionals