About the Job
As a data scientist on the analysis track, your mission will be to improve the quality of decisions made across products and business operations by leveraging relevant, reliable, and actionable data. You will own a specific domain within the product and will collaborate closely with product and business managers as part of 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.
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What’s On Your Plate?
- Utilize ambiguous business problems as opportunities to drive objective criteria using data.
- Develop an in-depth understanding of the product experiences and business processes associated with your focus area.
- Familiarize yourself with source data and its generating systems through documentation and interaction with engineering teams, alongside systematic data profiling.
- Contribute significantly to the design and maintenance of data models that help measure performance and comprehend the drivers of performance for your area of focus.
- Work closely with product and business teams to identify critical questions that can be effectively answered using data.
- Deliver well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making 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.
- Mentor junior data scientists in their professional growth.
- Contribute to enhancing our work processes, toolsets, and internal training programs.
What You Need to Be Successful
Technical Experience Required:
- Proficiency in SQL and experience in 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 various types of analysis including descriptive, exploratory, inferential, causal, and predictive analysis.
- Deep understanding of experiment design and analysis workflows, along with statistical techniques.
- Familiarity with product data (impressions, events) and metrics for product health (conversion, engagement, retention).
- Experience with BigQuery and the Google Cloud Platform is a plus.
- Background in data engineering and data pipeline development (e.g., via Airflow) is a plus.
- Knowledge of classical machine learning 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 preferred but not required.
- 5+ years of experience in data science and machine learning.
- Experience in data science within an online consumer product setting is a plus.
- Strong problem-solving skills with a growth mindset.
- Excellent collaboration and communication skills.
- A strong sense of ownership and accountability.
- A pragmatic approach to achieving goals.
Who We Are
As a leading tech organization in the MENA region, we have proudly delivered services to millions of customers for the past 18 years. Founded in Kuwait in 2004 and acquired by Delivery Hero in 2015, we leverage local knowledge with global expertise to innovate and create technology solutions that benefit the MENA region. We operate in 9 countries with over 4,500 employees and collaborate with more than 27,000 brands across nearly 50,000 branches. Our q-commerce initiative, talabat mart, now delivers groceries within 30 minutes across several countries in the region.
