Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
At talabat, we foster an innovative environment where our talabaty employees can strive to create a positive impact across the region through the use of our platform.
Role Summary
As a data scientist on the analysis track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data.
You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented 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 that make up your area of focus.
Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend 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, relevant, 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, Causal Inference, 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 our ways of work, our tooling, and our internal training programs.
5+ years of overall experience working in data science and machine learning.
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.
An excellent communicator.
A strong sense of ownership and accountability.
A ‘keep it simple’ approach to #makeithappen.