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
* Measuring and monitoring customer experience key metrics, such as NPS, CPO and PARR etc.
* Collaborating with stakeholders closely to find RCA and action plans.
* Sorting out and establishing customer experience metrics systems, effectively discovering related problems, and providing solutions to business partner.
* Conducting deep analysis about seller and customer experience, to explore more opportunities in repurchase, retention and conversion.
* Designing an A/B experiment for effectiveness improvement and ROI calculation, conducting analysis to optimize strategies.
Minimum Qualifications
* Bachelor degree or above, major in science or engineering or engaged in data statistics, analysis, modeling related working areas after graduation.
* Proficient in SQL, can use Python or R for data analysis.
* Able to write required documents in English and communicate with global staff.
* Have good learning ability with curiosity to pick up domain knowledge in new areas quickly; Can lead a small project team to support business.
* Have strong ability to work under pressure and overcome challenges.
Preferred Qualifications
* Experience in e-commerce business and analysis is preferred.
* Overseas business experience or analytical experience is preferred.
* Major in mathematics, statistics, computer is preferred.
TikTok Shop Data Scientist Governance and Experience Data Science • London
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