Data Specialist à Émirats arabes unis

As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.

As a data scientist on the analysis track, your mission will be to improve the quality of decisions made across product and business through relevant, reliable, and actionable data. You will own a specific domain within product and business, working closely with managers and a team of data scientists and engineers. Your responsibilities include managing the entire data value chain: logging, data modeling, analysis, reporting, and experimentation.

• Transform ambiguous business problems into data-driven objectives.
• Develop a deep understanding of your focus area’s product experiences and business processes.
• Familiarize yourself with source data and systems through documentation, collaboration with engineering teams, and data profiling.
• Contribute to designing and maintaining data models to measure performance and identify drivers.
• Collaborate with product and business teams to formulate key questions for data analysis.
• Deliver relevant and actionable insights via analysis and automated reports.
• Design and analyze experiments (A/B and multivariate tests).
• Support KPI development and goal setting for product and business managers.
• Mentor fellow data scientists.
• Help improve workflows, tools, and training programs.

Technical Experience

• Proficiency in reproducible data analysis using Python or R.
• Experience with data modeling and dimensional design.
• Strong command over the full data analysis lifecycle: problem formulation, auditing, analysis, interpretation, and presentation.
• Knowledge of various analysis types: descriptive, exploratory, inferential, causal, and predictive.
• Understanding of experiment design and statistical techniques.
• Familiarity with product data (impressions, events, etc.) and health metrics (conversion, engagement, retention).
• Experience with BigQuery and Google Cloud Platform is a plus.
• Experience with data pipelines (e.g., Airflow) and ML frameworks (e.g., Scikit-learn, XGBoost, LightGBM) is a plus.

Qualifications

• Bachelor’s degree in engineering, computer science, or related fields; postgraduate degree is a plus.
• At least 3 years of experience in data science and machine learning.
• Experience in online consumer products is a plus.
• Strong problem-solving skills and growth mindset.
• Ownership and accountability mindset.
• Practical, straightforward approach to execution (#makeithappen).

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