Assistant Vice President – Data Science

Aldar

🇦🇪 Abu Dhabi

AI Job Summary

Design and productionize advanced analytics and AI solutions using Python, SQL, and modern ML frameworks to solve complex business problems. This role requires six-plus years of data science or applied machine learning experience with proven track record of deploying models into production. You'll collaborate across cross-functional teams on model development, explainability, governance, and A/B testing while communicating results to technical and non-technical stakeholders. Bachelor's degree in a quantitative field required.

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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.

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Role Assistant Vice President – Data Science
Experience 3-4 years
Education Bachelor Degree
Work type On-site
Location United Arab Emirates

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Aldar

Other · 500+ Members · Abu Dhabi, United Arab Emirates

Aldar is an Abu Dhabi-headquartered real estate developer, investor, and manager.

Aldar develops residential, commercial, retail, hospitality, education, and logistics assets while managing investment properties and communities across the UAE and other markets.

All jobs at Aldar

Job Overview

Eligibility

United Arab Emirates Right to work in the United Arab Emirates required.

Workplace

On-site

Job Posted:

1 week ago

Job Type

Full Time

Education

Bachelor Degree

Experience

3-4 years

Assistant Vice President – Data Science

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