Senior Associate – Data Scientist
ALDAR · Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
- On site
- Full-time
- $120,000 / year
- Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Job highlights
- Design, build, and deploy advanced AI/ML solutions.
- Translate complex business problems into data science projects.
- Utilize Python, SQL, and ML frameworks for model development.
- Collaborate with cross-functional teams for productionization.
- Ensure AI model explainability, governance, and compliance.
About the role
Job Purpose
As a Senior Associate – Data Scientist, 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
- 5+ 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.
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. 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.
Key skills/competency
- Data Science
- Machine Learning
- Python
- SQL
- AI Solutions
- Model Development
- Data Analysis
- Problem Translation
- Communication
- Collaboration
Skills & topics
- Data Scientist
- Machine Learning
- Python
- SQL
- AI
- Advanced Analytics
- Data Modeling
- Model Deployment
- A/B Testing
- Data Governance
How to get hired
- Tailor your resume: Highlight your 5+ years of data science experience, Python/SQL proficiency, and successful model deployments.
- Showcase AI governance: Emphasize your understanding of explainability, fairness, and Model Risk Management (MRM).
- Demonstrate collaboration: Provide examples of working in agile teams with Data Analysts and Product Owners.
- Prepare for technical interviews: Be ready to discuss your approach to model development, validation, and productionization.
- Express your passion: Convey your curiosity and commitment to continuous learning in data science.
Technical preparation
Master Python libraries: pandas, NumPy, scikit-learn.,Practice SQL for complex data manipulation.,Build and evaluate ML models (regression, classification).,Familiarize with ML lifecycle tools.
Behavioral questions
Describe a complex business problem you solved.,How do you ensure model transparency and fairness?,Share an experience of collaborating with non-technical teams.,How do you stay updated with AI advancements?
Frequently asked questions
- What is the required experience for the Senior Data Scientist role at ALDAR?
- The Senior Data Scientist role at ALDAR requires 5+ years of experience in data science, applied machine learning, or advanced analytics, with proven experience in deploying models into business processes.
- What programming languages and tools are essential for this Senior Data Scientist position?
- Essential skills for the Senior Data Scientist role at ALDAR include advanced proficiency in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM) and a strong command of SQL. Experience with platforms like Databricks and familiarity with deep learning frameworks and ML lifecycle tools are also important.
- Does ALDAR use AI tools in their hiring process for the Senior Data Scientist role?
- Yes, ALDAR may use AI tools to assist in reviewing applications and analyzing resumes for the Senior Data Scientist role. However, human judgment remains central to the final hiring decisions.
- What level of education is required for the Senior Data Scientist job at ALDAR?
- A Bachelor’s degree in a quantitative field like Computer Science, Data Science, Statistics, Mathematics, or Engineering is required. A Master’s degree or higher in Data Science, Machine Learning, or Applied Statistics is considered an advantage.
- What are the key responsibilities of a Senior Data Scientist at ALDAR?
- Key responsibilities include translating business problems into data science projects, developing and evaluating machine learning models, collaborating on model productionization, applying explainability techniques, supporting AI governance, and communicating findings to diverse audiences.
- What does ALDAR look for in terms of interpersonal skills for the Senior Data Scientist role?
- ALDAR seeks Senior Data Scientists with excellent communication skills, the ability to explain technical findings in business terms, a collaborative spirit, and a passion for continuous learning and innovation.
- How does ALDAR ensure the responsible use of AI in its data science projects?
- ALDAR emphasizes AI governance by applying model explainability, fairness, and interpretability techniques, and supporting AI governance activities including Model Risk Management (MRM) processes.