Since launching in Kuwait in 2004, the company has become the leading on-demand food and Q-commerce app for everyday deliveries, offering convenience and reliability to its customers across eight countries. The company is committed to building a high-performance culture through an engaged workforce and growing talent density. With over 6,000 employees, the company aims to positively impact the lives of millions of customers, restaurant partners, and riders by advancing its data-driven platform.
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As a data scientist on the algorithms track, your mission will be to enhance decision-making across product and business by leveraging relevant, reliable, and actionable data through the development of machine learning models at scale. You will own a specific domain and work closely with product and business managers as part of a talented team. Your responsibilities will encompass the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
Responsibilities:
- Convert ambiguous business problems into objective criteria using data.
- Solve complex business challenges using appropriate algorithms to create business value.
- Design and implement impactful machine learning systems in production.
- Develop a deep understanding of product experiences and business processes within your focus area.
- Engage with engineering teams to understand data sources and contribute to data profiling.
- Design and maintain data models to measure performance and identify performance drivers.
- Collaborate with product and business teams to answer key questions with data-driven insights.
- Deliver actionable recommendations through analysis and automated reports.
- Plan and analyze experiments (A/B and multivariate tests).
- Support product and business managers with KPI design and goal setting.
- Mentor junior data scientists.
- Contribute to continuous improvement in tools and training programs.
Qualifications:
- Bachelor's degree in engineering, computer science, technology, or related fields; a postgraduate degree is a plus.
- 6+ years of experience in data science, machine learning, and Gen AI, preferably in an online consumer product setting.
- Expertise in machine learning, deep learning, recommendation/personalization systems, and data mining.
- Deep knowledge of ML algorithms and frameworks (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch).
- Strong SQL skills and proficiency in data analysis using Python or R.
- Familiarity with data modeling and dimensional design, as well as various types of analysis.
- Understanding of experimental design and statistical techniques.
- Familiarity with BigQuery and Google Cloud Platform is a plus.
- Experience in data engineering and pipeline development (e.g., via Airflow) is advantageous.
- Strong problem-solving skills, collaboration, communication, ownership, and accountability.
