Location
Dubai, United Arab Emirates
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About
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
Responsibilities
- Improve the quality of the decisions made across product and business via relevant, reliable, and actionable data.
- Own a particular domain across product and business and collaborate with product and business managers as part of a talented team of data scientists and data engineers.
- Own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
- Leverage ambiguous business problems as opportunities to drive objective criteria using data.
- Solve complex business problems using the simplest, most appropriate algorithms to deliver business value.
- Design and implement effective and impactful machine learning and generative AI systems in production.
- Develop a deep understanding of the product experiences and business processes relevant to your area of focus.
- Contribute heavily to the design and maintenance of the data models that allow measurement of performance and comprehension of performance drivers for your area.
- Deliver well-formed, relevant, reliable, and 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 in their growth journeys.
- Contribute to improving our ways of working, tooling, and internal training programs.
Qualifications
Technical Experience
- Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
- Deep knowledge and experience in ML and GenAI frameworks (e.g., Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).
- Excellent SQL skills.
- Competence in reproducible data analysis using Python or R.
- Familiarity with data modeling and dimensional design.
- Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
- Familiarity with various types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.
- Deep understanding of experiment design and analysis workflows and the corresponding statistical techniques.
- Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).
- Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.
- Familiarity with BigQuery and the Google Cloud Platform is a plus.
- Data engineering and data pipeline development experience (e.g., via Airflow) is a plus.
General Qualifications
- Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
- 3+ years of experience working in data science, machine learning, and Gen AI.
- Experience doing data science in an online consumer product setting is a plus.
- A good problem solver with a ‘figure it out’ growth mindset.
- An excellent collaborator and communicator.
- A strong sense of ownership and accountability.
- A ‘keep it simple’ approach to problem-solving.
