About the Job
This role is centered around leveraging ambiguous business problems as opportunities to drive objective criteria using data. The successful candidate will develop a deep understanding of product experiences and business processes within their area of focus, building strong partnerships with product and business counterparts.
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Key responsibilities include:
- Setting the team's roadmap, success criteria, and priorities in close collaboration with engineering and business partners.
- Gaining familiarity with the source data and its generating systems through thorough documentation, interaction with engineering teams, and systematic data profiling.
- Contributing significantly to the design and maintenance of data models that help measure performance and comprehend performance drivers.
- Collaborating closely with product and business teams to identify key questions that can be effectively addressed with data.
- Balancing high-impact projects and sustainable practices while spotting low-cost, high-impact wins for expedited value delivery.
- Coaching and mentoring data scientists and data analysts both technically and professionally.
- Delivering actionable insights and recommendations through deep analysis and automated reports.
- Designing, planning, and analyzing experiments, including A/B and multivariate tests.
- Supporting product and business managers with KPI design and goal setting.
- Contributing to the enhancement of workflows, tools, and internal training programs.
What You Need to Be Successful
- Strong command over the entire data analysis lifecycle, including problem formulation, auditing, rigorous analysis, interpretation, recommendations, and presentation.
- Familiarity with various types of analysis such as descriptive, exploratory, inferential, causal, and predictive.
- Proficiency in reproducible data analysis using Python or R, along with excellent SQL skills.
- Comfort with data modeling and dimensional design.
- Deep understanding of experiment design, analysis workflows, and corresponding statistical techniques.
- Familiarity with product data (impressions, events) and product health measurement (conversion, engagement, retention).
- Experience with BigQuery and Google Cloud Platform is a plus.
- Experience in data engineering and data pipeline development (e.g., via Airflow) is advantageous.
- Exposure to classical machine learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) is a plus.
Qualifications
- Bachelor's degree in engineering, computer science, technology, or related fields; a postgraduate degree is a plus but not required.
- Minimum of 5 years of overall experience in data science.
- At least 2 years of experience in leading data teams.
- Experience in data science for online consumer product settings is a plus.
- A strong problem solver with a growth mindset and excellent collaborative and communication skills.
- A sense of ownership and accountability, with a preference for straightforward solutions.
Who We Are
As a leading local tech organization in the MENA region, we have been delivering for millions of people for the past 18 years. Founded in Kuwait in 2004 and acquired by Delivery Hero in 2015, we leverage local knowledge with global expertise. We operate across 9 countries with over 4,500 employees, partnering with over 27,000 brands and nearly 50,000 branches. Our commitment to innovation includes pioneering new technologies such as q-commerce, sustainable packaging, cloud kitchens, autonomous delivery vehicles, robots, and drones.
