When you think of food delivery in the MENA region, we\xe2\x80\x99d be pretty surprised if talabat didn\xe2\x80\x99t pop into your mind first! Since delivering our first order in Kuwait in 2004, we\xe2\x80\x99ve grown quite a lot over the past 17 years.

Today, we deliver hundreds of millions of food orders, grocery items and other products per year, to our customers in nine countries throughout the region with more than 3,000+ employees! Our food delivery business works with over 27,000 brands and almost 50,000 branches, while our q-commerce concept, talabat mart, now delivers groceries to customers in Bahrain, Egypt, Jordan, Kuwait, Oman Qatar, and the UAE in 30 minutes or less!

Our philosophy is to make sure we do what is right for our ecosystem - our customers, our partners, our people, our riders, and the communities in which we operate. Our #techforgood program allows our customers a safe and convenient way to contribute to important causes in their community through donating to local and international charities directly on talabat with a focus on food insecurity in the region. Since its inception in 2020, we have facilitated the donation of well over 1 million meals to those in need, as well as donated over $1.5 million to charity with the help of our partners and customers. talabat is part of Delivery Hero, the global leader in online food delivery and q-commerce.

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.

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\xe2\x80\x99s 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 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.

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 different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.

Deep understanding of the various 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 the 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 overall experience working in data science

Experience doing data science in an online consumer product setting is a plus.

A good problem solver with a \xe2\x80\x98figure it out\xe2\x80\x99 growth mindset.

An excellent collaborator.

An excellent communicator.

A strong sense of ownership and accountability.

A \xe2\x80\x98keep it simple\xe2\x80\x99 approach to #makeithappen.

Talabat