About the Job:
Since launching in Kuwait in 2004, the company has established itself as the leading on-demand food and Q-commerce app for everyday deliveries, ensuring convenience and reliability for customers. With a presence in eight countries, the company combines innovative technology and local insights to enhance daily life for users while optimizing operations for restaurant partners and providing reliable earning opportunities for riders.
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As a data scientist on the algorithms track, your mission will be to improve decision-making quality across product and business through relevant, reliable data. You will own a particular domain, working closely with product and business managers alongside a talented team of data scientists and data engineers. Your responsibilities will encompass the entire data value chain, focusing on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making.
Responsibilities:
- Leverage ambiguous business problems to drive objective criteria using data.
- Solve complex business problems utilizing appropriate algorithms to deliver business value.
- Design and implement effective machine learning and generative AI systems in production.
- Develop a deep understanding of product experiences and business processes.
- Familiarize yourself with source data and its generating systems through proactive documentation and interaction with engineering teams.
- Contribute to the design and maintenance of data models for performance measurement.
- Work with product and business teams to identify critical questions that can be answered with data.
- Deliver relevant, reliable 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 internal training programs.
Qualifications:
- Bachelor's degree in engineering, computer science, technology, or related field; a postgraduate degree is a plus.
- 6+ years of experience in data science, machine learning, and generative AI.
- Experienced in machine learning, generative AI, deep learning, recommendation systems, and data mining.
- Proficient in ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Excellent SQL skills and competence in reproducible data analysis using Python or R.
- Strong command of the entire data lifecycle, including problem formulation, data auditing, and analysis.
- Familiarity with different analysis types and experimental design workflows.
- Data engineering and pipeline development experience (e.g., via Airflow) is a plus.
- Experience in online consumer products is beneficial.
Work Conditions:
On-site, Full-time
Language Requirements:
Not specified.
