Sr. Data Scientist - Analysis (Logistics & QC)

talabat

Job Description

Roles & Responsibilities

Desired Candidate Profile

• 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.
• 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.