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Product Data Scientist II (Based in Dubai, UAE)

talabat
City of London
2 days ago
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Overview

Product Data Scientist II (Based in Dubai, UAE). talabat is a leading on-demand food and Q-commerce app delivering everyday convenience. We operate across eight countries in the region, leveraging technology to simplify life for customers, optimize restaurant and local shop operations, and provide reliable earning opportunities for riders.

At talabat, we foster an innovative environment where our talabaty employees create a positive regional impact through our platform.

Role Summary

As a data scientist on the analysis track, your mission is to improve the quality of decisions across product and business through relevant, reliable, and actionable data. You will own a domain across product and business, collaborate with product and business managers, and work with a team of data scientists and data engineers. You will own the entire data value chain including logging, data modeling, analysis, reporting, and experimentation.

What’s On Your Plate?
  • Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
  • Developing a deep understanding of the product experiences and business processes within your area of focus.
  • Developing familiarity with source data and its generating systems through documentation, engineering collaboration, and systematic data profiling.
  • Contributing to the design and maintenance of data models that measure performance and identify performance drivers for your area of focus.
  • Working closely with product and business teams to identify important questions that can be answered effectively with data.
  • Delivering well-formed, reliable, and actionable insights and recommendations to support data-driven decision making through deep analysis and automated reports.
  • Designing, planning, and analyzing experiments (A/B and multivariate tests).
  • Supporting product and business managers with KPI design and goal setting.
  • Mentoring other data scientists in their growth journeys.
  • Contributing to improving ways of work, tooling, and internal training programs.
What Did We Order?Technical Experience
  • Excellent SQL.
  • Competence with reproducible data analysis using Python or R.
  • Familiarity with data modeling and dimensional design.
  • Strong command over the entire data analysis lifecycle including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
  • Familiarity with descriptive, exploratory, inferential, causal, and predictive analyses.
  • Deep understanding of experiment design and analysis workflows and the corresponding statistical techniques.
  • Familiarity with product data (impressions, events) and product health measurement (conversion, engagement, retention).
  • Familiarity with BigQuery and Google Cloud Platform is a plus.
  • Data engineering and data pipeline development experience (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 experience in data science and machine learning.
  • Experience doing data science in an online consumer product setting is a plus.
  • Strong problem-solving mindset with a “figure it out” approach.
  • Excellent collaboration and communication skills.
  • Strong sense of ownership and accountability.
  • A simple, execution-focused approach to getting things done.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Software Development and IT Services and IT Consulting


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