Miniumum Qualifications:
- Bachelor degree in Economics, Mathematics, Statistics, Computer Science, or Analytics;
- At least 3 years of Data Science experience in Causal Inference, Experimentation, Product Analytics, Machine Learning, and Statistics expertise;
- SQL & Python or R proficiency.
Preferred Qualifications:
- Advanced Degree (MS, PhD.) in Economics, Mathematics, Statistics, Analytics, etc;
- Causal Inference, Experimentation, Product Analytics, Machine Learning, and Statistics experience;
- Business oriented. Have a strong business sense to proactively help Product and Operations identify key business challenges using data-driven insights;
- Strong curiosity and self-driving force;
- Excellent communication skills, an open mind, and positive critical thinking;
- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice;
- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems.