Responsibilities
The e-commerce data science team aims to maximize the efficiency of e-commerce transactions through quantitative techniques such as mathematical statistics and machine learning. At the same time, we are committed to building a more diverse, inclusive, candid and efficient working atmosphere. We sincerely invite excellent data scientists to join us in building a first-class e-commerce platform.
Responsibilities:
1. Measuring and monitoring customer experience key metrics, such as NPS, CPO and PARR etc.;
2. Collaborating with stakeholders closely to find RCA and action plans;
3. Sorting out and establishing customer experience metrics systems, effectively discovering related problems, and providing solutions to business partner;
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4. Conducting deep analysis about seller and customer experience, to explore more opportunities in repurchase, retention and conversion;
5. Designing a/b experiment for effectiveness improvement and ROI calculation, conducting analysis to optimize strategies.
Qualifications
Minimum Qualifications:
1. Bachelor degree or above, major in science or engineering or engaged in data statistics, analysis, modeling related working areas after graduation;
2. Proficient in SQL and Tableau, can use Python or R for data analysis;
3. At least 5 years' experience in data analysis area, experience in consumer insights is a plus;
4. At least 2 years of people management experience required;
5. Have good learning ability with curiosity to pick up domain knowledge in new areas quickly; Can lead a small project team to support business;
6. Have strong ability to work under pressure and overcome challenges.
Preferred Qualifications:
1. Experience in e-commerce business and analysis is preferred;
2. Overseas business experience or analytical experience is preferred;
3. Major in mathematics, statistics, computer is preferred.