Responsibilities

• Conducted data analysis focused on Recommendation/ Feeds/ Growth scenarios.
• Delivered advanced analytics, reporting, and BI applications to support strategic decision-making.
• Supported and prioritised data requests from business stakeholders; interpreted change requirements and assessed their business impact.
• Partnered with cross-functional teams to identify and deliver high-impact analytical use cases.
• Led the implementation of AI (LLM)-based autonomous agents for data analysis, chatbot interaction, and sentiment monitoring.
• Mentored junior analysts in executing complex, data-driven projects under tight timelines.

Requirements

• 5+ years of experience in data analytics, with deep expertise in statistics, machine learning, and data-driven decision-making.
• Proficient in SQL, Python, Spark, Power BI, and Tableau, capable of delivering end-to-end analytical solutions.
• Hands-on LLM experience in developing Prompt, RAG, Workflows,GenAI,Multimodal AI and Agents, with a strong track record of iterative optimization and performance enhancement.
• Strong AI product mindset, able to translate data insights into intelligent product features and drive innovation.
• Excellent English communication skills, experienced in collaborating across multinational and cross-cultural teams.
• Rich analytical background in Web3 or Internet e-commerce industry and analysis work relating to Recommendation/ Feeds/ Growth will be beneficial.

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.