Assistant Vice President – Data Science

شركة الدار العقارية ش.م.ع; Abu Dhabi; On-site; AED 520,000 - 820,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

Aldar Real Estate PJSC in Abu Dhabi seeks an AVP – Data Science to design, build, and productionize advanced analytics and AI solutions that drive measurable business value. You will collaborate with Data Product Owners, Analysts, BI Developers, and Quality Specialists to translate complex business challenges into data-driven models.

You will leverage Python, SQL, and modern ML frameworks to create scalable, explainable, governed models aligned with organizational priorities while contributing

Qualifications

• Bachelor’s degree in a quantitative field; Master’s preferred.
• Strong proficiency in Python and SQL for data preparation and modeling.
• Experience with modern ML frameworks and governance processes.

Responsibilities

• Translate business problems into data science projects with clear hypotheses and metrics.
• Prepare high-quality datasets using Python and SQL.
• Design, train, and evaluate ML models with diverse algorithms.
• Productionize AI models via reproducible pipelines and CI/CD workflows.
• Ensure explainability, fairness, and governance of models.

Skills

Python

SQL

Databricks

PyTorch

TensorFlow

MLflow

Airflow

Docker

Kubernetes

Git

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field

Master's degree or higher in Data Science, Machine Learning, or Applied Statistics (advantage)

Tools

Databricks

MLflow

Airflow

Docker

Kubernetes

GitHub

Job description

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.
• Explore, clean, and transform structured and unstructured data using Python and SQL to prepare high-quality datasets for modeling.
• Design, train, and evaluate machine learning models using appropriate algorithms and statistical techniques (e.g., regression, classification, clustering, NLP, forecasting).
• Collaborate with engineering and platform teams to productionize AI models through reproducible pipelines and CI/CD workflows.
• Apply model explainability, fairness, and interpretability techniques (e.g., SHAP, LIME, feature importance) to ensure transparency and accountability.
• Support AI governance activities, including Model Risk Management (MRM) processes, ensuring compliance and responsible use of AI.
• Conduct and analyze A/B tests or controlled experiments to assess model and feature performance.
• Work with Data Product Owners to define business outcomes, monitor model performance post-deployment, and ensure continued relevance.
• Collaborate with Data Quality Specialists to ensure input data meets quality, lineage, and governance standards.
• Communicate results effectively through visualizations, storytelling, and presentations tailored to technical and non-technical audiences.

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).
• Strong command of SQL for data extraction, transformation, and validation.
• Experience working in Databricks or equivalent data and ML platforms.
• Familiarity with deep learning frameworks (PyTorch, TensorFlow) and ML lifecycle tools (MLflow, Airflow, Docker, Kubernetes).
• Understanding of model explainability, ethics, fairness, and governance.
• Knowledge of AI governance processes and documentation standards, including Model Risk Management (MRM).
• Exposure to cloud platforms (Azure, Snowflake) and APIs for integrating AI models into applications.
• Familiarity with version control (Git/GitHub) and collaborative coding practices.
• Excellent communication skills to explain technical findings in clear business terms.
• Collaborative and curious, with a passion for continuous learning and innovation

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.

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.