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Open nowPosted 31 days ago

Assistant Vice President – Data Science

Aldar Properties PJSC48 open roles

Where
Abu Dhabi
Work mode
On site
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Your applicationOpen nowAssistant Vice President – Data ScienceAldar Properties PJSC · Abu Dhabi

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  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Aldar Properties PJSC postings stay open a median of 19 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 31 days ago

Aldar Properties PJSC median: 19 days open

The posting

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.

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