Sr. Data Scientist - Analysis (Logistics & QC)

talabat; Dubai; On-site; AED 167,400 - 279,000; Full time

Job summary

talabat is looking for a data analyst in Dubai to drive data-driven decision making. The ideal candidate will leverage data to provide actionable insights, conduct experiments, and work closely with product teams.

This role requires proficiency in SQL and Python, and a deep understanding of data analysis techniques. A bachelor's degree is mandatory, and at least 5 years of relevant experience is expected. Join talabat to enhance product strategies through robust data analysis.

Qualifications

• 5+ years of experience in data science and machine learning.
• Experience with online consumer product data science is preferred.

Responsibilities

• Drive objective criteria using data.
• Deliver actionable insights and recommendations.
• Design and analyze A/B and multivariate tests.

Skills

SQL expertise

Python or R for data analysis

Data modeling

A/B testing

Data analysis lifecycle

BigQuery familiarity

Data pipeline development

Machine learning frameworks

Education

Bachelor's degree in engineering, computer science, or similar

Postgraduate degree (plus)

Job description

Responsibilities

• 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

• Excellent SQL expertise.
• 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 various experiment design and analysis workflows and the corresponding statistical techniques.
• Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).
• Familiarity with BigQuery and the Google Cloud Platform (plus).
• Data engineering and data pipeline development experience (e.g., via Airflow) (plus).
• Experience with classical ML frameworks (e.g., Scikit-learn, XGBoost, LightGBM) (plus).
• Bachelor's degree in engineering, computer science, technology, or similar fields.
• 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 (plus).