Sr. Data Scientist - Analysis (Logistics & QC)
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
Skills
About This Role
Overview
- Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
- We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
- Here at talabat, we are building a high performance culture through engaged workforce and growing talent density.
- We're all about keeping it real and making a difference.
- Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes.
- We are proud to be a multi great place to work award winner.
- ****Job Description****
- 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 Senior Data Scientist supporting our Logistics and QCommerce domains, you will drive high-impact decision-making across business functions through data-driven insights and experimentation.
- Partnering closely with Business Leaders, and fellow Data professionals, you will take ownership of a key business area and influence strategy through rigorous analysis and measurement.
- Your scope will span the full data lifecycle, from instrumentation and data modeling to analytics, reporting, experimentation, and delivering actionable recommendations that drive measurable business outcomes.
- WHAT’S 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.
- ****Qualifications****
Technical Experience
- Excellent SQL.
- Competence with reproducible data analysis using Python or R.
- Familiarity with data modeling and dimensional design.
- Experience designing and analyzing experiments using A/B testing, multivariate testing, switchback experiments, and synthetic control methods.
- 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.
- 5+ years of overall experience working in data science and machine learning.
- Experience doing data science in an online consumer product setting is a plus.
- ****Additional Information****
What We'll Be Looking For
- Throughout The Interview Process, We'll Assess Not Only Your Technical Expertise And Problem-solving Abilities, But Also The Behaviors That Drive Success At Talabat:
- Own It : Taking accountability, demonstrating initiative, and driving outcomes end-to-end.
- Deliver Value Fast: Balancing speed and quality to create meaningful business impact.
- Dive Deep: Approaching problems with curiosity, analytical rigor, and a strong attention to detail.
- Bring Good Vibes: Building strong relationships, collaborating effectively, and contributing positively to team culture.
- Raise the Bar: Striving for excellence, challenging assumptions, and continuously improving the quality of your work.
- Stay Humble: Remaining open to feedback, learning from others, and embracing a growth mindset.
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