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About the Role

As a Data Scientist on the QC Hub team, you will be the analytical brain behind one of talabat’s fastest-growing verticals. You will partner directly with product and business leaders to shape strategy, design experiments that affect millions of users, and build the data foundations that power smarter decisions. This role is for someone who loves turning ambiguous business questions into actionable analysis and driving change through insights.

Responsibilities

Design and run A/B tests and multivariate experiments.
Conduct deep dives into performance drivers and translate findings into clear recommendations.
Build and maintain data models for measuring key metrics and ensuring data reliability.
Partner with product and business managers to frame analytical problems, set KPIs, and present insights.
Turn ambiguous business questions into structured analytical problems.
Build and maintain dimensional data models in BigQuery.
Create automated dashboards and reports for stakeholders.
Challenge assumptions with data.
Collaborate with data engineers on logging and data pipeline quality.

Requirements

Strong SQL skills, including complex queries with window functions and CTEs, optimized for large datasets.
Proficiency in writing reproducible analytical code in Python or R.
Expertise in experiment design, including A/B and multivariate tests, sample size calculation, and statistical testing pitfalls.
Experience across the full analysis lifecycle: problem framing, data auditing, analysis, interpretation, and presenting recommendations.
Knowledge of dimensional data modeling for ad-hoc analysis and automated reporting.
Product analytics intuition, including familiarity with metrics like conversion, engagement, and retention.
3+ years in data science, analytics, or a related quantitative field.
Experience with BigQuery and Google Cloud Platform is a plus.
Data engineering skills (Airflow, dbt, or similar pipeline tools) are a plus.
Experience with ML frameworks (Scikit-learn, XGBoost, LightGBM) is a plus.
Familiarity with modern data tools and AI-assisted analysis workflows is a plus.
Experience in an online consumer product or marketplace environment is a plus.

Skills

SQL
Python
R
A/B testing
Multivariate testing
Data modeling
Product analytics
BigQuery
Google Cloud Platform
Airflow
dbt
Scikit-learn
XGBoost
LightGBM

Location

Kuwait

Work Type

Full-time

Experience Level

3+ years

Education Level

Degree in a quantitative field (statistics, mathematics, economics, computer science, engineering, or similar) or equivalent practical experience.

Benefits

Impact at scale
Analytics-first culture
Modern tooling (BigQuery, GCP ecosystem)
Freedom to experiment with new approaches including AI-assisted workflows
Career growth opportunities
Certified Great Place to Work

About the Company

talabat is the region’s leading on-demand delivery app, serving millions of customers across eight countries.
The Quick Commerce (QC) Hub powers grocery and convenience delivery, getting essentials to customers in minutes.
The QC data team operates at a large scale, handling millions of daily transactions and influencing how groceries are delivered across the Middle East.
The company fosters an analytics-first culture where decisions are grounded in evidence.