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. Use causal inference, Machine Learning and other technologies to actively explore opportunities in traffic, products, operations, strategies, etc.;
2. Through keen insight into the business, Qualitative and Quantitative Analysis, model construction, and experimental verification, complete in-depth special project analysis and give strategic suggestions;
3. Efficient communication with cross-functional team, promote the implementation of strategy application and continuous optimization.
Qualifications
Minimum Qualifications:
1. Bachelor's degree or above in computer, statistics, data science or related majors, master's and doctoral are preferred;
2. Solid foundation in machine learning and statistics, proficient in SQL, Python /R;
3. Familiar with e-commerce search or recommendation strategies, relevant experience is preferred;
4. Good at communication, proactive in work, have a sense of ownership, strong sense of responsibility, good teamwork ability and pressure bearing ability;
5. Have strong curiosity and self-driving force, like to accept challenges, aim for the highest.
Preferred Qualifications:
1. Have excellent communication skills, an open mind, and positive critical thinking;
2. Strong driving ability, open and inclusive, with the ability to actively think and explore, with a sense of ownership, and willing to bring positive impact to the team;
3. When cooperating with XFN, there is no boundary, Always Day 1. Hope to promote the change of the e-commerce industry, willing to make complex things bigger and better.
