Responsibilities
1. Responsible for data analysis work related to AI business. Specific content directions include but not limited to user functional experience, strategic effects, model effects, etc. 2. Have in-depth thinking about the business, and then turn it into the construction and monitoring of key indicators, attribute short-term anomalies, and interpret long-term trends to form insights 3. Based on business iteration and analysis needs, improve data construction, follow up on various business function iterations, clearly and objectively see changes in user experience through reasonable AB experiment plans and analysis methods, and then propose targeted solutions to help products improve user experience 4. Through scientific methods such as reversal experiments, long-term experiments, causal inference, and special analysis, help the business understand key phenomena and issues in the business development process and form cognition 5. Actively discover the essential needs and pain points of the business, find opportunities for improvement/efficiency, give specific and feasible optimization suggestions, promote implementation and bring about actual business improvement 6. Use data science skills to improve the data informed capabilities and quality of the overall team, and cooperate with products/operations/strategies/algorithms to promote the implementation of optimization plans and observe the effects.
Qualifications
1. Bachelor degree or above, more than 3 years of data analysis experience experience in content ecology, search experience, social product experience is preferred statistics, mathematics, data science, and computer majors are preferred 2. Independently complete data extraction and cleaning, analyze business problems, and be able to propose improvement directions based on analysis conclusions Have strong quantitative abstraction ability, and can better abstract business logic into mathematical problems 3. Proficient in using SQL&Python, with simple machine learning and data mining theory and technical foundation 4. Interested in AI innovative business, strong curiosity, and highly self-driven rigorous, meticulous and conscientious personality 5. Proactive, with a sense of ownership, strong sense of responsibility, and good teamwork and pressure-bearing abilities.
