Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As the leading delivery company in the region, talabat has a significant responsibility and opportunity to impact millions of customers, restaurant partners, and riders. This role involves advancing the platform to become more intelligent in understanding and serving users. As a data scientist supporting the QC Hub, your mission is to improve decision quality across product and business via relevant, reliable, and actionable data. You will own a specific domain across product and business, collaborating with product and business managers within a talented team of data scientists and data engineers. This role encompasses the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.

Responsibilities

Leverage ambiguous business problems to drive objective criteria using data.
Develop a deep understanding of product experiences and business processes in your focus area.
Become familiar with source data and generating systems through documentation, engineering team interaction, and systematic data profiling.
Contribute heavily to the design and maintenance of data models to measure and comprehend performance drivers.
Work closely with product and business teams to identify important data-answerable questions.
Deliver well-formed, relevant, reliable, and actionable insights and recommendations through deep analysis and automated reports.
Design, plan, and analyze experiments (A/B and multivariate tests).
Support product and business managers with KPI design and goal setting.

Requirements

Strong command over the entire data analysis lifecycle: problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
Deep understanding of various experiment design and analysis workflows and corresponding statistical techniques.
Familiarity with product data (impressions, events) and product health measurement (conversion, engagement, retention).
Experience doing data science in an online consumer product setting is a plus.

Skills

Excellent SQL.
Competence with reproducible data analysis using Python or R.
Familiarity with data modeling and dimensional design.
Familiarity with different types of analysis: descriptive, exploratory, inferential, causal, and predictive analysis.
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.

Experience Level

3+ years of overall experience working in data science and machine learning.

Education Level

Bachelor's degree in engineering, computer science, technology, or similar fields.
A postgraduate degree is a plus but not required.

About the Company

talabat, the leading on-demand food and Q-commerce app for everyday deliveries, launched in Kuwait in 2004.
Offers convenience and reliability to customers in eight countries across the region.
Harnesses innovative technology and knowledge to simplify everyday life for customers, optimize operations for restaurants and local shops, and provide riders with reliable earning opportunities.
Building a high-performance culture through an engaged workforce and growing talent density.
6,000+ talabaty are on a mission to spread positive vibes.
Proud to be a multi great place to work award winner.