Sr. Data Scientist - Analysis (Logistics & QC)
Core
Drive high-impact decision-making across logistics and QCommerce domains through data-driven insights, experimentation, and actionable recommendations to support business outcomes.
Role type
Senior Data Scientist (Analysis & Experimentation)
Builds
Data models, automated reports, and experimental frameworks for logistics and QCommerce performance measurement.
Domain
Logistics, Q-commerce (food delivery), and on-demand delivery platforms.
Deliverable
dashboards & analysis
Required skills
SQL, Python or R, data modeling, dimensional design, A/B testing, multivariate testing, switchback experiments, synthetic control methods, statistical analysis, problem formulation, data auditing, KPI design.
Preferred skills
BigQuery, Google Cloud Platform, Airflow, classical ML frameworks (Scikit-learn, XGBoost, LightGBM), online consumer product experience.
Technologies
SQL, Python, R, BigQuery, Google Cloud Platform, Airflow, Scikit-learn, XGBoost, LightGBM
Responsibilities
Design and maintain data models to measure performance and comprehend drivers; analyze experiments (A/B, multivariate, switchback); deliver actionable insights via deep analysis and automated reports; support product and business managers with KPI design and goal setting; collaborate with engineering teams on data profiling and documentation.
Seniority
Senior, hands-on IC
