Senior Data Scientist II – Personalization

The Senior Data Scientist II - Personalization role at Careem is based in Dubai, United Arab Emirates and supports the delivery of business goals through specialist expertise, sound judgment and effective collaboration. The successful candidate will bring relevant experience, a practical approach to problem-solving and the ability to work with colleagues and stakeholders across functions. This position requires ownership of assigned work, clear communication and a focus on measurable outcomes.

Key Responsibilities

• Design, develop and evaluate machine-learning approaches that make product discovery and customer experiences more relevant. Translate business questions into measurable modelling problems, build robust datasets and features, and develop or improve ranking, recommendation, segmentation or personalization models. Design experiments, evaluate offline and online performance, and communicate trade-offs using sound statistical reasoning.
• Work with engineering, product and analytics teams to deploy models reliably and monitor performance over time. Investigate data quality and model drift, improve experimentation practices, and balance relevance, diversity, latency and business outcomes. Document methods clearly and help advance modelling standards and technical decision-making across the team.
• Maintain accurate documentation, provide timely updates and use relevant data to monitor progress, highlight risks and recommend improvements.
• Collaborate with internal stakeholders and external partners as appropriate to resolve issues and deliver agreed objectives.

Requirements and Qualifications

• Relevant professional experience appropriate to the level of the role; the expected experience range is 5+ Years.
• Bachelor's or Master's in a quantitative field or an equivalent combination of education and relevant experience.
• For roles explicitly designated UAE National or UAEN only, applicants must meet the stated UAE-national eligibility requirement.
• Ability to manage priorities, maintain confidentiality where required and deliver accurate work in a changing environment.

Skills and Competencies

Relevant skills include machine learning, personalization, Python, experimentation, recommender systems, SQL, statistics. The candidate should demonstrate analytical thinking, attention to detail, sound organization, professional communication, teamwork and a proactive approach to continuous improvement.

Employment Details

• Employment type: Full-time.
• Location: Dubai, United Arab Emirates.
• Compensation and benefits: To be discussed during the recruitment process and based on the role and candidate's experience.

Application

Submit your application through the external application link provided for this vacancy. Ensure your CV highlights relevant experience, qualifications and role-specific achievements.