Time since we first saw it
Day 40
Similar jobs usually come down between day 7 and day 56.
From 10,195 similar postings that came down. Coming down is not always a hire.
Assistant Vice President – Data Science
Abu Dhabi
Live, first seen by us 40 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingTurn business problems into data science projects with clear hypotheses and success metrics
Clean and transform structured and unstructured data in Python and SQL for modeling
Design, train and evaluate machine learning models such as regression, classification, NLP and forecasting
Work with engineering teams to productionize models through reproducible pipelines and CI/CD
Run A/B tests and controlled experiments on model and feature performance
From the employer’s posting
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.
Conduct and analyze A/B tests or controlled experiments to assess model and feature performance.
Education & alternatives
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.
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. Employment type
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 26, 202640 days ago
- Recorded sightings
- 25
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Aldar is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Docker
- Kubernetes
- MLflow
- Snowflake
- Airflow
- LightGBM
- NumPy
- pandas
- PyTorch
- scikit-learn
- TensorFlow
- XGBoost
Where the posting names them
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).
TECHNICAL AND INTERPERSONAL SKILLS Advanced proficiency in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM). Strong command of SQL for data extraction, transformation, and validation.
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.
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.
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).
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.
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Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
Employment type
Experienced hires
Source details
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- Location & working pattern
Abu Dhabi
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- Work authorization
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