As the leading delivery company in the region, talabat has a significant responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. In this role, you will contribute to advancing our platform, making it more intelligent in understanding and serving our users.
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As a data scientist on the analysis track, your mission will involve improving the quality of decisions made across product and business using relevant, reliable, and actionable data. You will be responsible for a specific domain within product and business, collaborating closely with product and business managers as part of a talented team of data scientists and data engineers. Your responsibilities will encompass the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
Key Responsibilities:
- Transform ambiguous business problems into opportunities for objective data-driven decision making.
- Develop a deep understanding of product experiences and business processes related to your focus area.
- Become familiar with the source data and its generating systems through documentation and collaboration with engineering teams.
- Contribute to the design and maintenance of data models for performance measurement and understanding performance drivers.
- Work closely with product and business teams to identify key questions that can be effectively addressed with data.
- Deliver actionable insights and recommendations to support data-driven decision making through comprehensive analysis and automated reporting.
- Design, plan, and analyze experiments (A/B and multivariate tests).
- Assist product and business managers with KPI design and goal setting.
- Mentor other data scientists in their professional development.
- Contribute to improving processes, tools, and internal training programs.
Qualifications:
- Bachelor's degree in engineering, computer science, technology, or a similar field (postgraduate degree is a plus).
- 5+ years of overall experience in data science and machine learning.
- Experience in data science within an online consumer product setting is a plus.
- Proficient in SQL and competent in reproducible data analysis using Python or R.
- Familiar with data modeling, dimensional design, and the entire data analysis lifecycle including problem formulation, auditing, analysis, interpretation, recommendations, and presentation.
- Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.
- Understanding of experiment design and associated statistical techniques.
- Familiarity with product data metrics such as impressions and conversion rates is beneficial.
- Experience with BigQuery and Google Cloud Platform, as well as data engineering and pipeline development (e.g., via Airflow), is a plus.
- Familiar with classical machine learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) is also a plus.
Location: Dubai, Dubai, United Arab Emirates
Work Conditions: On-site, Full-time
Language Requirements: Not specified.
