As the leading delivery company in the region, we have a significant responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to enhance our platform to become more intelligent in how it understands and serves our users.
As a data scientist on the algorithms 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 and collaborate closely with product and business managers as part of a talented team of data scientists and data engineers. You will manage the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.
Responsibilities:
- Leverage ambiguous business problems as opportunities to drive objective criteria using data.
- Solve complex business problems using 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 in your area of focus.
- Familiarize yourself with source data and its generating systems through documentation and interaction with engineering teams.
- Contribute to the design and maintenance of data models to measure performance and understand performance drivers.
- Collaborate with product and business teams to identify important questions that can be answered effectively with data.
- Deliver actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
- 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 in their growth journeys.
- Contribute to improving ways of working, tooling, and internal training programs.
Requirements:
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Technical Experience:
- Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
- Deep knowledge of ML and GenAI frameworks (e.g., Scikit-learn, XGBoost, Keras, TensorFlow, PyTorch).
- Excellent SQL and competence in reproducible data analysis using Python or R.
- Familiarity with data modeling and dimensional design, and strong command over the entire data lifecycle.
- Familiarity with product data and product health measurement techniques.
- Experience with LLMs and NLP-based solutions is a plus.
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Qualifications:
- Bachelor's degree in engineering, computer science, technology, or related fields. A postgraduate degree is a plus but not required.
- 3+ years of experience in data science, machine learning, and Gen AI, preferably in an online consumer product setting.
- A problem-solver with a growth mindset, excellent communication skills, and a strong sense of ownership.
Work Conditions: On-site, Full-time
Location: Dubai, Dubai, United Arab Emirates
Company Overview:
Since launching in Kuwait in 2004, we have been the leading on-demand food and Q-commerce app for everyday deliveries, offering convenience and reliability to our customers. Our local roots give us a profound understanding of community needs across eight countries in the region. We harness innovative technology to simplify everyday life for our customers, optimize operations for our restaurant and local shop partners, and provide our riders with reliable earning opportunities. At talabat, we are dedicated to building a high-performance culture through an engaged workforce and growing talent density.
