Assistant Vice President – Data Science

Job Title: Assistant Vice President – Data Science Company: ALDAR Job Category: Machine Learning Roles & Responsibilities: Job Purpose As an AVP– Data Science, you will design, build, and productionize advanced analytics and AI solutions that drive measurable business value. You will work closely with Data Product Owners, Data Analysts, BI Developers, and Data Quality Specialists to translate complex business challenges into data\-driven models and experiments. Leveraging Python, SQL, and modern ML frameworks, you will develop scalable machine learning solutions that are explainable, governed, and aligned with organizational priorities. Roles And Responsibilities Translate business problems into data science projects by defining clear hypotheses, success metrics, and validation methods. Support AI governance activities, including Model Risk Management (MRM) processes, ensuring compliance and responsible use of AI. Work with Data Product Owners to define business outcomes, monitor model performance post\-deployment, and ensure continued relevance. Knowledge of AI governance processes and documentation standards, including Model Risk Management (MRM). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Work Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates Availability: Full time

Related Years Of Experience 6\+ years of experience in data science, applied machine learning, or advanced analytics. Proven experience delivering models that have been deployed and integrated into business processes or digital products. Experience working in agile, cross\-functional teams with Product Owners, Data Analysts, and Data Engineers. Field Of Experience Analytics, Data Science, Artificial Intelligence Technical And Interpersonal Skills Advanced proficiency in Python (pandas, NumPy, scikit\-learn, XGBoost, LightGBM). Experience working in Databricks or equivalent data and ML platforms. QUALIFICATION Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. Master’s degree or higher in Data Science, Machine Learning, or Applied Statistics is an advantage. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Pandas, NumPy, NLP Salary: Not disclosed