About the Job:
Since launching in Kuwait in 2004, talabat has become the leading on-demand food and Q-commerce app for everyday deliveries, providing convenience and reliability to customers across eight countries in the region. Our innovative technology and deep local roots allow us to simplify everyday life for our customers, optimize operations for our restaurant partners and local shops, and provide our riders with reliable earning opportunities.
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Role Summary:
As a Data Scientist on the analysis track, your mission will be to enhance the quality of decisions made across product and business through relevant, reliable, and actionable data. You will own a specific domain, collaborating closely with product and business managers within a talented team of data scientists and data engineers. Responsibilities include managing the entire data value chain from logging to experimentation.
Key Responsibilities:
- Transform ambiguous business problems into objective criteria using data.
- Develop a thorough understanding of product experiences and business processes.
- Become familiar with the source data and its generation systems.
- Contribute to the design and maintenance of data models for performance measurement.
- Collaborate with product and business teams to address critical questions with data analysis.
- Deliver actionable insights and recommendations to support data-driven decision-making.
- Design, plan, and analyze experiments (A/B and multivariate tests).
- Support product and business managers with KPI design and goal setting.
- Mentor other data scientists and contribute to improving team tools and training programs.
Technical Experience:
- Excellent SQL and proficiency in reproducible data analysis using Python or R.
- Knowledge of data modeling and dimensional design.
- Strong command of the data analysis lifecycle including auditing, analysis, interpretation, and presentation.
- Familiarity with various types of analysis: descriptive, exploratory, inferential, causal, and predictive.
- Understanding of experiment design and the corresponding statistical techniques.
- Experience with product data and health measurement metrics.
- Familiarity with BigQuery and Google Cloud Platform is a plus.
- Experience in data engineering and pipeline development (e.g., via Airflow) is a plus.
- Experience with classical ML frameworks (e.g., Scikit-learn, XGBoost, LightGBM) is a plus.
Qualifications:
- Bachelor's degree in engineering, computer science, technology, or similar fields; a postgraduate degree is a plus but not required.
- 3+ years of overall experience in data science and machine learning.
- Experience in an online consumer product setting is a plus.
- Excellent problem solver with a growth mindset.
- Strong collaborator and communicator.
- High sense of ownership and accountability.
- Simplistic approach to problem-solving and execution.
