Partner closely with business stakeholders to understand priorities, identify pain points, and uncover opportunities where data and AI can improve business decision-making.
Translate ambiguous business questions into structured analytical frameworks, agent workflows, and scalable solution designs.
Design and orchestrate AI agents that can perform tasks such as business Q&A, research, information extraction, data analysis, workflow automation, and decision support.
Define how multiple agents interact with each other, including task decomposition, role assignment, context sharing, tool usage, memory management, validation, and final response synthesis.
Convert recurring business processes into reusable analytics products, internal tools, or agent-based workflows.
Use data analysis, experimentation, forecasting, causal inference, optimization, LLMs, RAG, or other applied AI techniques to diagnose business issues and support decisions.
Work with engineering, data, product, and business teams to prototype, iterate, and productionize AI-enabled analytical solutions.
Communicate complex analytical and AI concepts clearly to both technical and non-technical audiences.
Help shape best practices for building reliable, scalable, and business-relevant AI agent solutions.
Minimum Qualifications
Strong quantitative, analytical, or technical background in data science, statistics, economics, operations research, computer science, engineering, or a related field; or equivalent practical experience.
Demonstrated capability in structured problem solving, analytical thinking, and using data or AI to address business problems.
Strong business understanding and problem-structuring ability, especially in ambiguous environments.
Proficiency in Python and SQL for data analysis, prototyping, and workflow development.
Familiarity with LLM applications, RAG, AI agents, tool calling, workflow automation, or applied machine learning.
Ability to connect data and AI work to real business impact.
Strong communication and stakeholder management skills.
Fluent verbal and written communication skills in both Mandarin Chinese and English.
Preferred Qualifications
PhD, or Master’s degree in Economics, Statistics, Data Science, Computer Science, Engineering, Operations Research, or a related quantitative / technical field.
Relevant experience in data science, applied AI, analytics, product analytics, strategy, consulting, machine learning, or AI product development.
Experience designing or building AI agents, multi-agent workflows, business copilots, research agents, Q&A agents, or automated analytical workflows.
Understanding of agent orchestration concepts such as planning, routing, tool use, memory, validation, reflection, handoff, and multi-agent collaboration.
Experience converting repeatable business needs into scalable tools, data products, or AI-enabled workflows.
Strong product sense and imagination, with the ability to think beyond one-off analysis and design reusable solutions.
Ability to operate with a big-picture mindset, connecting business strategy, data, AI capability, and execution feasibility.
Experience working with engineering, product, machine learning, or data platform teams to productionize analytical or AI solutions.
Familiarity with experimentation, causal inference, forecasting, segmentation, optimization, or measurement strategy is a plus.
Demonstrated business maturity, ownership, and delivered impact are valued over a fixed number of years of experience.