Sr. Data Scientist - Analysis (Logistics & QC) at Delivery Hero

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

01 Sep, 26

Salary

0.0

Posted On

03 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, Data Modeling, A/B Testing, Multivariate Testing, Synthetic Control Methods, Statistical Analysis, BigQuery, Google Cloud Platform, Airflow, Scikit-learn, XGBoost, LightGBM, Dimensional Design, KPI Design

Industry

technology;Information and Internet

Description

Company Description 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.

Responsibilities

Drive high-impact decision-making for Logistics and QCommerce domains through rigorous data analysis and experimentation. Manage the full data lifecycle from instrumentation and modeling to delivering actionable business recommendations.