Job Description
Unlock insights from massive logistics data. Build predictive models, perform statistical analysis, and drive data-driven decision making across the organization.
Requirements
- 3+ years of experience in data science
- Strong proficiency in Python, R, SQL
- Experience with scikit-learn, pandas, numpy
- Knowledge of statistical modeling and hypothesis testing
- Master's/PhD in Statistics, Mathematics, or related field preferred
Responsibilities
- Analyze delivery patterns and customer behavior data
- Build predictive models for demand forecasting and pricing optimization
- Develop dashboards and visualizations for business insights
- Conduct A/B testing and statistical analysis
- Collaborate with product and engineering teams on data-driven features